Springer Healthcare

Displaying 1-40 of 701 results

  • White Papers // Aug 2014

    Competitive Location in Cognitive Radio Networks

    In this paper, the authors address the problem of strategic base stations placement in cognitive radio networks. They consider a primary user, operating on the frequency channels of a primary network, and an operator (a leader) facing the competition of a second operator (a follower). These operators are willing to...

    Provided By Springer Healthcare

  • White Papers // Jul 2014

    Geometrical Localization Algorithm for 3-D Wireless Sensor Networks

    In this paper, the authors propose an efficient range free localization scheme for large scale three dimensional wireless sensor networks. Their system environment consists of two type of sensors, randomly deployed static sensors and global positioning system equipped moving sensors. These moving anchors travels across the network field and broadcast...

    Provided By Springer Healthcare

  • White Papers // Jun 2014

    A Comparative Study on Resource Allocation and Energy Efficient Job Scheduling Strategies in Large-Scale Parallel Computing Systems

    In the large-scale parallel computing environment, resource allocation and energy efficient techniques are required to deliver the Quality of Services (QoS) and to reduce the operational cost of the system. Because the cost of the energy consumption in the environment is a dominant part of the owner's and user's budget....

    Provided By Springer Healthcare

  • White Papers // Jun 2014

    Phoenix: DGA-Based Botnet Tracking and Intelligence

    Modern botnets rely on Domain-Generation Algorithms (DGAs) to build resilient command-and-control infrastructures. Given the prevalence of this mechanism, recent paper has focused on the analysis of DNS traffic to recognize botnets based on their DGAs. While previous paper has concentrated on detection, the authors focus on supporting intelligence operations. They...

    Provided By Springer Healthcare

  • White Papers // Jun 2014

    A Survey and Taxonomy on Energy Efficient Resource Allocation Techniques for Cloud Computing Systems

    In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) workloads having contentious allocation requirements in terms of...

    Provided By Springer Healthcare

  • White Papers // Jun 2014

    Dual-Access Way-Prediction Cache for Embedded Systems

    Way-Prediction (WP) caches have advantages of reducing power consumption and latency for highly associative data caches and thus are favorable for embedded systems. In this paper, the authors propose an enhanced way-prediction cache, Dual-Access Way-Prediction (DAWP) cache, to cope with the weakness of the WP cache. The prediction logic designed...

    Provided By Springer Healthcare

  • White Papers // May 2014

    Instruction-Level Steganography for Covert Trigger-Based Malware

    Trigger-based malware is designed to remain dormant and undetected unless a specific trigger occurs. Such behavior occurs in prevalent threats such as backdoors and environment-dependent (targeted) malware. Currently, trigger-based malicious code is often hidden in rarely exercised code paths in benign host binaries, and relies upon a lack of code...

    Provided By Springer Healthcare

  • White Papers // Apr 2014

    CubeLoad: A Parametric Generator of Realistic OLAP Workloads

    Differently from OLTP workloads, OLAP workloads are hardly predictable due to their inherently extemporary nature. Besides, obtaining real OLAP workloads by monitoring the queries actually issued in companies and organizations is quite hard. On the other hand, hardware and software benchmarking in the industrial world, as well as comparative evaluation...

    Provided By Springer Healthcare

  • White Papers // Apr 2014

    WABRM: A Work-Load Aware Balancing and Resource Management Framework for Swift on Cloud

    Fueled by increasing demand of big data processing, distributed storage systems have been more and more widely used by enterprises. However, in these systems, few storage nodes holding enormous amount of hotspot data could become bottlenecks. This stems from the fact that most typical distributed storage systems mainly provide data...

    Provided By Springer Healthcare

  • White Papers // Apr 2014

    An Overview of the Commercial Cloud Monitoring Tools: Research Dimensions, Design Issues, and State-of-the-Art

    Cloud monitoring activity involves dynamically tracking the Quality of Service (QoS) parameters related to virtualized resources (e.g., VM, storage, network, appliances, etc.), the physical resources they share, the applications running on them and data hosted on them. Applications and resources configuration in cloud computing environment is quite challenging considering a...

    Provided By Springer Healthcare

  • White Papers // Apr 2014

    Evaluation Methodology for Data Communication-Aware Application Partitioning

    Heterogeneous multicore architectures appear to be a promising solution to the ever-increasing computational demands of applications in embedded as well as high-performance computing domains. Nevertheless, inefficient application partitioning for such systems may result in a considerable reduction in the anticipated performance improvement. Consequently, proper mechanisms are required to evaluate quality...

    Provided By Springer Healthcare

  • White Papers // Mar 2014

    Hierarchical Approach to Optimization of Parallel Matrix Multiplication on Large-Scale Platforms

    Many state-of-the-art parallel algorithms, which are widely used in scientific applications executed on high-end computing systems, were designed in the twentieth century with relatively small-scale parallelism in mind. Indeed, while in 1990s a system with few hundred cores was considered a powerful supercomputer; modern top supercomputers have millions of cores....

    Provided By Springer Healthcare

  • White Papers // Feb 2014

    Unmixing-Based Content Retrieval System for Remotely Sensed Hyperspectral Imagery on GPUs

    In this paper the authors present a new unmixing-based retrieval system for remotely sensed hyperspectral imagery. The need for this kind of system is justified by the exponential growth in the volume and number of remotely sensed data sets from the surface of the earth. This is particularly the case...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    Measuring Precision of Modeled Behavior

    Conformance checking techniques compare observed behavior (i.e., event logs) with modeled behavior for a variety of reasons. For example, discrepancies between a normative process model and recorded behavior may point to fraud or inefficiencies. The resulting diagnostics can be used for auditing and compliance management. Conformance checking can also be...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    Transactional Support for Adaptive Indexing

    Adaptive indexing initializes and optimizes indexes incrementally, as a side effect of query processing. The goal is to achieve the benefits of indexes while hiding or minimizing the costs of index creation. However, index-optimizing side effects seem to turn read-only queries into update transactions that might, for example, create lock...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    Big Data: A Survey

    In this paper, the authors review the background and state-of-the-art of big data. They first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. They then focus on the four phases of the value chain of big...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    ADLU: A Novel Anomaly Detection and Location-Attribution Algorithm for UWB Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics. Besides energy consumption considerations, security has emerged as an equally important aspect in their network design. This is because WSNs are vulnerable to various types of attacks and to node compromises,...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    DynTunKey: A Dynamic Distributed Group Key Tunneling Management Protocol for Heterogeneous Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are being used for many applications ranging from mobile target surveillance to intelligent home networking. Due to the sensitive nature of the data transmitted by these applications, appropriate protection mechanisms are needed to prevent attackers from exploiting the weaknesses of the radio links. In this paper,...

    Provided By Springer Healthcare

  • White Papers // Jan 2014

    InterCloud RAIDer: A Do-It-Yourself Multi-Cloud Private Data Backup System

    In this paper, the authors introduce InterCloud RAIDer, which realizes a multi-cloud private data backup system by composing a data deduplication technique to reduce the overall storage overhead, erasure coding to achieve redundancy at low overhead, which is dispersed across multiple cloud services to realize fault-tolerance against individual service providers,...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    A Decision Framework for Placement of Applications in Clouds That Minimizes Their Carbon Footprint

    Cloud computing gives users much freedom on where they host their computation and storage. However, the CO2 emission of a job depends on the location and the energy efficiency of the data centers where it is run. The authors developed a decision framework that determines to move computation with accompanying...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    An Improved Task Assignment Scheme for Hadoop Running in the Clouds

    Now-a-days, data-intensive problems are so prevalent that numerous organizations in various industries have to face them in their business operation. It is often crucial for enterprises to have the capability of analyzing large volumes of data in an effective and timely manner. MapReduce and its open-source implementation Hadoop dramatically simplified...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    Data Management in Cloud Environments: NoSQL and NewSQL Data Stores

    Advances in web technology and the proliferation of mobile devices and sensors connected to the Internet have resulted in immense processing and storage requirements. Cloud computing has emerged as a paradigm that promises to meet these requirements. This paper focuses on the storage aspect of cloud computing, specifically on data...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    Service Selection in Web Service Compositions Optimizing Energy Consumption and Service Response Time

    A challenging task in web service composition is the runtime binding of a set of interconnected abstract services to concrete ones. This question, formulated as the service selection problem, has been studied in the area of service compositions implementing business processes. Despite the abundance of work on this topic, few...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    Catching Modern Botnets Using Active Integrated Evidential Reasoning

    Botnets are now recognized as one of the major security threats to start various security attacks (e.g., spamming, DDoS). Although substantial research has been done towards botnet detection, it is becoming much more difficult today, especially for highly polymorphic, intelligent and stealthy modern botnets. Traditional botnet detection (e.g., signature, anomaly...

    Provided By Springer Healthcare

  • White Papers // Dec 2013

    Agile Methods for Embedded Systems Development - A Literature Review and a Mapping Study

    There is a wide area of applications that use embedded systems, and the number of such systems keeps growing. The required functionality and complexity of embedded systems are also constantly increasing, and development of such products is becoming increasingly harder. This requires new thinking on the product development processes, and...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    An Elastic Virtual Infrastructure for Research Applications (ELVIRA)

    Cloud computing infrastructures provide a way for researchers to source the computational and storage resources they require to conduct their work and to collaborate within distributed research teams. The authors provide an overview of a cloud-based elastic virtual infrastructure for research applications that they have established to provide researchers with...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    Towards Full Network Virtualization in Horizontal IaaS Federation: Security Issues

    Horizontal IaaS federation exploits datacenter for federation of IaaS provider by supplying virtual nodes (e.g. virtual machines, virtual switches, and virtual routers) and virtual links. Today's datacenters for cloud computing do not supply full network virtualization in terms of user-level network management and user-agreed network topology. The datacenters lack the...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    Efficient and Highly Portable Deterministic Multithreading (DetLock)

    In this paper, the authors present DetLock, a runtime system to ensure deterministic execution of multithreaded programs running on multicore systems. DetLock does not rely on any hardware support or kernel modification to ensure determinism. For tracking the progress of the threads, logical clocks are used. Unlike previous approaches, which...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    Securing Cloud Using Third Party Threaded IDS

    Cloud computing is universal, staying anywhere in the world user can access the cloud applications. Mainly cloud computing will provide services to the users using Internet. Cloud storage services offer user-friendly, easily accessible and money-saving ways of storing and automatically backing up arbitrary data. These services are available on-demand on...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    A Survey on Securing the Virtual Cloud

    In this paper, the authors present a survey and analysis of the current security measures implemented in cloud computing and the hypervisors that support it. The viability of an efficient virtualization layer has led to an explosive growth in the cloud computing industry, exemplified by Amazon's Elastic Cloud, Apple's iCloud,...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    A Routing Framework for Energy Harvesting Wireless Nanosensor Networks in the Terahertz Band

    Wireless NanoSensor Networks (WNSNs) will allow novel intelligent nanomaterial-based sensors, or nanosensors, to detect new types of events at the nanoscale in a distributed fashion over extended areas. Two main characteristics are expected to guide the design of WNSNs architectures and protocols, namely, their Terahertz Band wireless communication and their...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    AppaaS: Offering Mobile Applications as a Cloud Service

    With the huge number of offerings in the mobile application market, the choice of mobile applications that best fit particular objectives is challenging. Therefore, there is a demand for a platform elevating the momentum of mobile applications that can adapt their behavior according to the user's context. This paper proposes...

    Provided By Springer Healthcare

  • White Papers // Nov 2013

    Efficient Parallel Spectral Clustering Algorithm Design for Large Data Sets Under Cloud Computing Environment

    Spectral clustering algorithm has proved be more effective than most traditional algorithms in finding clusters. However, its high computational complexity limits its effect in actual application. This paper combines the spectral clustering with MapReduce, through evaluation of sparse matrix Eigen-value and computation of distributed cluster, puts forward the improvement ideas...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    Analytic Performance Modeling and Optimization of Live VM Migration

    Cloud computing is based on largely distributed virtual environments that provide Infrastructure-as-a-Service (IaaS) services to consumers allowing them to lease computing resources that scale to their needs. These services rely on virtualization as an important technology that facilitates dynamic resource management to meet Service Level Agreements (SLA) of disparate applications...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    Linearly Homomorphic Structure-Preserving Signatures and their Applications

    Structure-Preserving Signatures (SPS) are signature schemes where messages, signatures and public keys all consist of elements of a group over which a bilinear map is efficiently computable. This property makes them useful in cryptographic protocols as they nicely compose with other algebraic tools (like the celebrated groth-sahai proof systems). In...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    Efficient Cryptosystems from 2k-th Power Residue Symbols

    In this paper, the authors introduced a new generalization of the cryptosystem. The so-obtained cryptosystems are shown to be secure under the quadratic residuosity assumption. Further, they enjoy a number of useful features including fast decryption, optimal ciphertext expansion, and homomorphic property. The authors believe that their proposal is the...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    An Agents and Artifacts Approach to Distributed Data Mining

    In this paper the authors propose a novel Distributed Data Mining (DDM) approach based on the agents and artifacts paradigm, as implemented in CArtAgO, where artifacts encapsulate data mining tools, inherited from Weka, that agents can use while engaged in collaborative, distributed learning processes. Target hypothesis are currently constrained to...

    Provided By Springer Healthcare

  • White Papers // Oct 2013

    A Scalable Scheme for Privacy-Preserving Aggregation of Time-Series Data

    Suppose that a set of multiple users uploads in every time period encrypted values of some data. The considered problem is how an untrusted data aggregator can compute the sum of all users' values but nothing more. However, as advocated by the authors, the proposed encryption scheme suffers from some...

    Provided By Springer Healthcare

  • White Papers // Sep 2013

    Differentially Private Set-Valued Data Release Against Incremental Updates

    Publication of the private set-valued data will provide enormous opportunities for counting queries and various data mining tasks. Compared to those previous methods based on partition-based privacy models (e.g., k-anonymity), differential privacy provides strong privacy guarantees against adversaries with arbitrary background knowledge. However, the existing solutions based on differential privacy...

    Provided By Springer Healthcare

  • White Papers // Sep 2013

    Repairing Event Logs Using Timed Process Models

    Process mining aims to infer meaningful insights from process-related data and attracted the attention of practitioners, tool-vendors, and researchers in recent years. Traditionally, event logs are assumed to describe the as-is situation. But this is not necessarily the case in environments where logging may be compromised due to manual logging....

    Provided By Springer Healthcare

  • White Papers // Sep 2006

    Compiler-Driven Leakage Energy Reduction in Banked Register Files

    Tomorrow's embedded devices need to run high-resolution multimedia applications which need an enormous computational complexity with a very low energy consumption constraint. In this context, the register file is one of the key sources of power consumption and its inappropriate design and management can severely affect the performance of the...

    Provided By Springer Healthcare

  • White Papers // Nov 2009

    Static Timing Analysis for Hard Real-Time Systems

    Hard real-time systems have to satisfy strict timing constraints. To prove that these constraints are met, timing analyses aim to derive safe upper bounds on tasks' execution times. Processor components such as caches, out-of-order pipelines, and speculation cause a large variation of the execution time of instructions, which may induce...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Towards Automated FSMD Partitioning for Low Power Using Simulated Annealing

    The authors focus on the class of sequential circuits characterized by a FSMD (Finite State Machine with Datapath) representation. Partitioning is one technique used to facilitate logic isolation in FSMD circuits. They propose a technique to efficiently partition a FSMD (Finite State Machine with Datapath) using a simulated annealing approach....

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    An IP Core for Embedded Java Systems

    In this paper, the authors propose a multithreaded java processor as an IP core for Altera's System-on-Chip (SoC) environment. The processor core is an enhancement of the earlier developed multithreaded java processor named Komodo. It features a real-time capable garbage collection and integrated real-time scheduling schemes. Hence, it is suitable...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    VLSI Architecture for MRF Based Stereo Matching

    In the real-time systems, computation speed, memory size and data bus bandwidth are important factors in addition to output precision. The iteration algorithms like BP need the effective trade-off between good approximation results and small iteration times in the viewpoint of the computational efficiency. As a step towards real-time stereo...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Reconfigurable Multithreading Architectures: A Survey

    Many applications running on modern embedded devices are composed of multiple threads, typically processing data among multiple sources. During the quest of maximum performance and flexibility, the hybrid architectures combining one or more embedded General Purpose Processors (GPPs) with reconfigurable logic have emerged. There is a clear trend which shows...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    Mapping and Performance Evaluation for Heterogeneous MP-SoCs Via Packing

    The computational demand of signal processing algorithms is rising continuously. Heterogeneous embedded multiprocessor systems-on-chips are one solution to tackle this demand. But to be able to take advantage of the benefits of these systems, new strategies are required how to map applications to such a system and how to evaluate...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study

    Modern multimedia applications are becoming increasingly dynamic. The state-of-the-art scalable 3D graphics algorithms are able to adapt at run-time their hardware resource allocation requests according to input, resource availability and a number of quality metrics. Additionally, the resource management mechanisms are becoming more dynamic themselves and are able to cope...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    Towards Multi-Application Workload Modeling in Sesame for System-Level Design Space Exploration

    The sesame modeling and simulation framework aims at early and thus efficient system-level design space exploration of embedded multimedia system architectures. So far, Sesame only supported performance evaluation when mapping a single application onto a (multi-processor) architecture at the time. But since modern multimedia embedded systems are increasingly multi-tasking, the...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    Power Efficient Co-Simulation Framework for a Wireless Application Using Platform Based SoC

    To yield large-power saving of a target SoC, the designer should make analysis and optimization for power consumption in its early design stage. It can lead to fewer and faster design iterations with aggressive power consumption constraints. Reducing design turn-around-time while better exploring system-level constrains requires efficient and accurate analysis...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Experiences with Cell-BE and GPU for Tomography

    Tomography is a powerful technique for three-dimensional imaging that deals with image reconstruction from a series of projection images, acquired along a range of viewing directions. An important part of any tomography system is the reconstruction algorithm. Iterative reconstruction algorithms have many advantages over non-iterative methods, yet their running time...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    An Embrace-and-Extend Approach to Managing the Complexity of Future Heterogeneous Systems

    In this paper, the authors present a particularly lightweight, integrative approach to programming and executing applications targeting heterogeneous, dynamically reconfigurable parallel systems. Based on an analysis of existing approaches, they strictly focused on compatibility and light weighted. Their approach therefore follows an embrace-and-extend strategy and achieves desired functionality by adopting...

    Provided By Springer Healthcare

  • White Papers // Jul 2008

    ASIP-eFPGA Architecture for Multioperable GNSS Receivers

    Progresses of modern CMOS technology enable the integration of different architecture blocks in a so called heterogeneous System-on-Chip (SoC). These architecture blocks are programmable processors as well as Reconfigurable Processing Units (RPUs) like embedded Field Programmable Gate Arrays (eFPGAs) and dedicated standard cell as well as physically optimized macros. In...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Programmable and Scalable Architecture for Graphics Processing Units

    3D graphics processing can be seen as a compound of sequential stages applied to a set of input data. Commonly, graphics processing systems are abstracted as so called graphics pipelines, with only minor differences between the various existing APIs and implementations. Graphics processing is an application area with high level...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Automated Distribution of UML 2.0 Designed Applications to a Configurable Multiprocessor Platform

    In this paper, the authors present automated distribution of embedded real-time applications modeled in Unified Modeling Language version 2.0 (UML 2.0). The automated distribution requires methods and tools for design automation, as well as the run-time environment for the distributed execution on the target platform. Executable application code is generated...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    Communication Architecture Simulation on the Virtual Synchronization Framework

    System-on-Chip (SoC) designers are dealing with ever increasing design complexity. Moreover, as Multi-Processor System-on-Chip (MPSoC) architecture becomes more and more popular, SoC designers encounters the challenge of finding the optimal communication architecture for the target platform. As Multi-Processor System-on-Chip (MPSoC) has become an effective solution to ever-increasing design complexity of...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Interface Overheads in Embedded Multimedia Software

    The multimedia capabilities in battery powered mobile communication devices should be provided at high energy efficiency. Consequently, the hardware is usually implemented using low-power technology and the hardware architectures are optimized for embedded computing. Software architectures, on the other hand, are not embedded system specific, but closely resemble each other...

    Provided By Springer Healthcare

  • White Papers // Jul 2008

    A Real-Time Programming Model for Heterogeneous MPSoCs

    Heterogeneous MPSoC will be the preferred topology for high performance, low power signal processing systems of the future. These systems will be set up from established, highly optimized components such as RISC processors, DSPs, ASIPs and ASICs. MPSoCs can deliver unlimited processing power to the programmer. Unfortunately programming such systems...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Exploiting the Cell/BE Architecture with the StarPU Unified Runtime System

    Multicore architectures are now widely adopted. Desktop personal computers and even laptops typically contain a multicore CPU and a powerful graphic card. The multicore cell processor is used both in the PlayStation 3 gaming console as well as the Roadrunner supercomputer. Core specialization is currently one of the most promising...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    Improving TriMedia Cache Performance by Profile Guided Code Reordering

    There is an ever-increasing gap between memory and processor performance. As a result, exploiting the cache becomes increasingly important, especially for embedded systems where cache sizes are much smaller than that of general purpose processors. The fine-tuning of an application with respect to cache behavior is now largely dependent on...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Advantages of Java Processors in Cache Performance and Power for Embedded Applications

    Java, with its advantages as being an overspread multiplatform object oriented language, has been gaining popularity in the embedded system market over the years. Furthermore, because of its extra layer of interpretation, it is also believed that it is a slow language while being executed. However, when this execution is...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Code Size Reduction by Compiler Tuning

    Code size is a main cost factor for many high volume electronic devices. It is therefore important to reduce the size of the applications in an embedded system. Several methods have been proposed to deal with this problem, mostly based on compressing the binaries. In this paper, the authors approach...

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    A Framework Introducing Model Reversibility in SoC Design Space Exploration

    Now-a-days, designing a System-on-Chip (SoC) requires many different and antagonist constraints to be satisfied in terms of silicon area, power consumption, reliability, computation power. Apart from these requirements related to the chip performance, additional economical parameters need to be taken into account like yield, production and design cost, time-to-market and...

    Provided By Springer Healthcare

  • White Papers // Jan 2010

    Effects of Program Compression

    The size of the program code has become a critical design constraint in embedded systems, especially in handheld devices. Large program codes require large memories, which increase the size and cost of the chip. In addition, the power consumption is increased due to higher memory I/O bandwidth. Program compression is...

    Provided By Springer Healthcare

  • White Papers // Jul 2008

    Tool Integration and Interoperability Challenges of a System-Level Design Flow: A Case Study

    The concept of system-level design of embedded systems, which raises the abstraction level of the design process to cope with design complexity, has been around for more than a decade now and has shown a lot of potential. Despite of this, system-level design still involves a substantial number of challenging...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Modeling Scalable SIMD DSPs in LISA

    Single Instruction Multiple Data (SIMD) processing is an important technique for achieving high performance in applications with innate data level parallelism such as applications from the Software Defined Radio (SDR) domain. This paper investigates using the LISA 2.0 Language to facilitate the development of scalable SIMD Digital Signal Processors (DSPs)....

    Provided By Springer Healthcare

  • White Papers // Aug 2007

    A Modular Coprocessor Architecture for Embedded Real-Time Image and Video Signal Processing

    In recent years, integration of smart image and video processing algorithms in sensor devices increased. Applications like object detection, tracking, and classification demand high computing performance. This paper presents a modular coprocessor architecture for embedded real-time image and video signal processing. Applications are separated into high-level and low-level algorithms and...

    Provided By Springer Healthcare

  • White Papers // Jul 2009

    Implementing Fine/Medium Grained TLP Support in a Many-Core Architecture

    The authors believe that future many-core architectures should support a simple and scalable way to execute many threads that are generated by parallel programs. A good candidate to implement an efficient and scalable execution of threads is the DTA (Decoupled Threaded Architecture), which is designed to exploit fine/medium grained Thread...

    Provided By Springer Healthcare

  • White Papers // Sep 2009

    Hierarchical Dependency Graphs: Abstraction and Methodology for Mapping Systolic Array Designs to Multicore Processors

    Systolic array designs and dependency graphs are some of the most important class of algorithms in several scientific computing areas. In this paper, the authors propose an abstraction based on the fundamental principles behind designing systolic arrays. Then, based on the abstraction, they propose a methodology to map a dependency...

    Provided By Springer Healthcare

  • White Papers // Mar 2009

    Adaptive Workload Allocation in Query Processing in Autonomous Heterogeneous Environments

    The increasing prevalence of networked storage and computational resources, along with middleware for managing resource access and sharing, raises the prospect that queries can be run over resources obtained on demand, rather than on dedicated infrastructures. However, the movement of query processing into non-dedicated environments means that it is necessary...

    Provided By Springer Healthcare

  • White Papers // Aug 2012

    Tulipse: A Visualization Framework for User-Guided Parallelization

    Parallelization of existing code for modern multicore processors is tedious as the person performing these tasks must understand the algorithms, data structures and data dependencies in order to do a good job. Current options available to the programmer include either automatic parallelization or a complete rewrite in a parallel programming...

    Provided By Springer Healthcare

  • White Papers // Nov 2008

    Design of a Custom Packet Switching Engine for Network Applications

    In this paper, the authors address the design of an application-specific processor with emphasis on packet processing applications. In this domain, demands for increasing the performance and the ongoing development of network protocols both call for flexible and performance-optimized engines. The authors present a flexible engine that is optimized for...

    Provided By Springer Healthcare

  • White Papers // Jul 2013

    A Fault Tolerant Hierarchical Network on Chip Router Architecture

    Continuing advances in the processing technology, along with the significant decreases in the feature size of integrated circuits lead to increases in susceptibility to transient errors and permanent faults. Network-on-Chips (NoCs) have come to address the demands for high bandwidth communication among processing elements. The structural redundancy inherited in NoC-based...

    Provided By Springer Healthcare

  • White Papers // Apr 2012

    A Case for Virtual Machine Based Fault Injection in a High-Performance Computing Environment

    Large-scale computing platforms provide tremendous capabilities for scientific discovery. As applications and system software scale up to multi-petaflops and beyond to exascale platforms, the occurrence of failure will be much more common. This has given rise to a push in fault-tolerance and resilience research for High-Performance Computing (HPC) systems. This...

    Provided By Springer Healthcare

  • White Papers // Feb 2008

    A Generic Network Interface Architecture for a Networked Processor Array (NePA)

    Recently Network-on-Chip (NoC) technique has been proposed as a promising solution for on-chip interconnection network. However, different interface specification of integrated components raises a considerable difficulty for adopting NoC techniques. In this paper, the authors present a generic architecture for Network Interface (NI) and associated wrappers for a networked processor...

    Provided By Springer Healthcare

  • White Papers // Apr 2007

    Formal Verification of Analog and Mixed Signal Designs in Mathematica

    With the latest advancement of semiconductors technology, the integration of the digital, Analog and Mixed-Signal (AMS) designs into a single chip was possible and led into the development of System-on-Chip (SoC) designs. One of the main challenges of SoC designs is the verification of AMS components, which interface digital and...

    Provided By Springer Healthcare

  • White Papers // Aug 2013

    Formal Analysis of Memory Contention in a Multiprocessor System

    Multi-core processors along with multi-module memories are extensively being used in high performance computers these days. One of the main performance evaluation metrics in such configurations is the memory contention problem and its effect on the overall memory access time. Usually, this problem is analyzed using simulation or numerical methods....

    Provided By Springer Healthcare

  • White Papers // May 2007

    Verification of Probabilistic Properties in HOL Using the Cumulative Distribution Function

    Traditionally, computer simulation techniques are used to perform probabilistic analysis. However, they provide inaccurate results and cannot handle large-scale problems due to their enormous CPU time requirements. To overcome these limitations, the authors propose to complement simulation based tools with higher-order-logic theorem proving so that an integrated approach can provide...

    Provided By Springer Healthcare

  • White Papers // Jun 2012

    On the Hard-Real-Time Scheduling of Embedded Streaming Applications

    In this paper, the authors consider the problem of Hard-Real-Time (HRT) multiprocessor scheduling of embedded streaming applications modeled as acyclic dataflow graphs. Most of the hard-real-time scheduling theory for multiprocessor systems assumes independent periodic or sporadic tasks. Such a simple task model is not directly applicable to dataflow graphs, where...

    Provided By Springer Healthcare

  • White Papers // Nov 2011

    A Parallelizing Compiler Cooperative Heterogeneous Multicore Processor Architecture

    Heterogeneous multicore architectures, integrating several kinds of accelerator cores in addition to general purpose processor cores, have been attracting much attention to realize high performance with low power consumption. To attain effective high performance, high application software productivity, and low power consumption on heterogeneous multicores, cooperation between an architecture and...

    Provided By Springer Healthcare