Louisiana State University

Displaying 1-29 of 29 results

  • White Papers // Apr 2014

    Mitigating NBTI Degradation on FinFET GPUs through Exploiting Device Heterogeneity

    Recent experimental studies reveal that FinFET devices commercialized in recent years tend to suffer from more severe NBTI degradation compared to planar transistors, necessitating effective techniques on processors built with FinFET for endurable operations. The authors propose to address this problem by exploiting the device heterogeneity and leveraging the slower...

    Provided By Louisiana State University

  • White Papers // Apr 2014

    Increasing Off-Chip Bandwidth in Multi-Core Processors with Switchable Pins

    Off-chip memory bandwidth has been considered as one of the major limiting factors to processor performance, especially for multi-cores and many-cores. Conventional processor design allocates a large portion of off-chip pins to deliver power, leaving a small number of pins for processor signal communication. The authors observed that the processor...

    Provided By Louisiana State University

  • White Papers // Feb 2014

    Evaluating Application Resilience with XRay

    The rising count and shrinking feature size of transistors within modern computers is making them increasingly vulnerable to various types of soft faults. This problem is especially acute in High-Performance Computing (HPC) systems used for scientific computing, because these systems include many thousands of compute cores and nodes, all of...

    Provided By Louisiana State University

  • White Papers // Jan 2014

    Energy Efficient Job Scheduling in Single-ISA Heterogeneous Chip-Multiprocessors

    In recent years, single-ISA heterogeneous Chip Multi-Processors (CMP) consisting of big high-performance cores and small power-saving cores on the same die have been proposed for the exploration of high energy-efficiency. On such heterogeneous platforms, an appropriate runtime scheduling policy lies at the heart of program executions to benefit from the...

    Provided By Louisiana State University

  • White Papers // Sep 2013

    Parametric GPU Code Generation for Affine Loop Programs

    Partitioning a parallel computation into finitely sized chunks for effective mapping onto a parallel machine is a critical concern for source-to-source compilation. In the context of OpenCL and CUDA, this translates to the definition of a uniform hyper-rectangular partitioning of the parallel execution space where each partition is subject to...

    Provided By Louisiana State University

  • White Papers // Jan 2012

    Optimal Microarchitectural Design Configuration Selection for Processor Hard-Error Reliability

    Traditional design space exploration mainly focuses on performance and power consumption. However, as one of the first-class constraints for modern processor design, the relationship between hard-error reliability and processor configurations has not been well studied. In this paper, the authors investigate this relationship by exploring a large processor design space....

    Provided By Louisiana State University

  • White Papers // Sep 2011

    Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

    With the emergence of extreme scale computing, modern Graphics Processing Units (GPUs) have been widely used to build powerful supercomputers and data centers. In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia...

    Provided By Louisiana State University

  • White Papers // Sep 2011

    Distributed Source Coding for Sensor Data Model

    The authors measure reliability in sensor networks which are dependent on limited resources of individual sensor nodes such has battery capacity, transmission range and channel interference due to simultaneous wireless transmissions. From the initial simulation it is estimated that the routing errors using a distributed algorithm for a large network...

    Provided By Louisiana State University

  • White Papers // Feb 2011

    Universal Rules Guided Design Parameter Selection for Soft Error Resilient Processors

    High-performance processors suffer from soft error vulnerability due to the increasing on-chip transistor density, shrinking processor feature size, lower threshold voltage, etc. In this paper, the authors propose to use a rule search strategy, i.e. Patient Rule Induction Method (PRIM), to optimize processor soft error robustness. By exploring a huge...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Efficient Prefetching with Hybrid Schemes and Use of Program Feedback to Adjust Prefetcher Aggressiveness

    Cache misses are a significant limitation on performance in modern processors because of long memory latencies. Performance can be improved by prefetching predictable memory access patterns in an effort to reduce or hide misses. The performance of some programs is dominated by cache misses and many of them can benefit...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Optimal Channel Equalization for MIMO Time-Varying Channels

    The authors consider optimal channel equalization for MIMO (Multi-Input/Multi-Output) time-varying channels in the sense of MMSE (Minimum Mean-Squared-Error), where the observation noise can be non-stationary. They show that all ZF (Zero-Forcing) receivers can be parameterized in an affine form which eliminates completely the ISI (Inter-Symbol-Interference), and optimal channel equalizers can...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Diversity-Multiplexing Tradeoff of Asynchronous Cooperative Diversity in Wireless Networks

    Synchronization of relay nodes is an important and critical issue in exploiting cooperative diversity in wireless networks. In this paper, two asynchronous cooperative diversity schemes are proposed, namely, distributed delay diversity and asynchronous space-time coded cooperative diversity schemes. In terms of the overall Diversity-Multiplexing (DM) tradeoff of a relay channel,...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Using Misbehavior to Analyze Strategic Versus Aggregate Energy Minimization in Wireless Sensor Networks

    The authors present a novel formulation of the problem of energy misbehavior and develop an analytical framework for quantifying its impact on other nodes. Specifically, they formulate two versions of the power control problem for wireless sensor networks with latency constraints arising from duty cycle allocations. In the first version,...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    A New Paradigm in Data Intensive Computing: Stork and the Data-Aware Schedulers

    The unbounded increase in the computation and data requirements of scientific applications has necessitated the use of widely distributed compute and storage resources to meet the demand. In a widely distributed environment, data is no more locally accessible and has thus to be remotely retrieved and stored. Efficient and reliable...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Connectivity-Through-Time Protocols for Dynamic Wireless Networks to Support Mobile Robot Teams

    Mobile robot teams are increasingly deployed in various applications involving remote operations in unstructured environments that do not support wireless network infrastructures. The authors propose a class of protocols based on the connectivity-through-time concepts that exploit the robot movements to extend the traditional notions of network connectivity. These protocols enable...

    Provided By Louisiana State University

  • White Papers // Dec 2010

    Autonomic Management of Application Workflows on Hybrid Computing Infrastructure

    In this paper, the authors present a programming and runtime framework that enables the autonomic management of complex application workflows on hybrid computing infrastructures. The framework is designed to address system and application heterogeneity and dynamics to ensure that application objectives and constraints are satisfied. The need for such autonomic...

    Provided By Louisiana State University

  • White Papers // Dec 2010

    Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure

    Azure is an emerging cloud platform developed and operated by Microsoft. It provides a range of abstractions and building blocks for creating scalable and reliable scientific applications. In this paper the authors investigate the applicability of the azure abstractions to the well-known class of loosely coupled and ensemble-based applications. They...

    Provided By Louisiana State University

  • White Papers // Dec 2010

    MobiCon: Mobile Context Monitoring Platform for Sensor-Rich Dynamic Environments

    The authors present a new mobile context monitoring platform to support emerging pervasive applications in a Personal Area Network (PAN)-scale dynamic mobile computing environment. Composed of a mobile device and many wearable and space-embedded sensors, the PAN-scale computing environment will constitute an important part of future pervasive spaces technology. The...

    Provided By Louisiana State University

  • White Papers // Sep 2010

    Simplifying Complex Software Assembly: The Component Retrieval Language and Implementation

    Assembling simulation software along with the associated tools and utilities is a challenging endeavor, particularly when the components are distributed across multiple source code versioning systems. It is problematic for researchers compiling and running the software across many different supercomputers, as well as for novices in a field who are...

    Provided By Louisiana State University

  • White Papers // Mar 2010

    Breaking Down The Barriers: Competition, Syndicate Structure, And Underwriting Incentives

    The authors argue that the entry of commercial banks into bond underwriting led to the evolution of co-led underwriting arrangements and lowered the screening incentives of underwriters. Lead underwriters in co-led syndicates faced weaker incentives to screen issuer quality. In boom markets, issues underwritten by co-led syndicates were more likely...

    Provided By Louisiana State University

  • White Papers // Mar 2010

    A Dynamic Capabilities Approach to Understanding the Impact of IT-Enabled Businesses Processes and IT-Business Alignment on the Strategic and Operational Performance of the Firm

    For the past two decades, researchers have sought to understand how IT investment leads to organizational success. However, this has proven to be an elusive goal. The authors posit that a new perspective is needed to better understand IT investment. They must examine how the investment is enacted and reflected...

    Provided By Louisiana State University

  • White Papers // Feb 2010

    SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems

    The uptake of distributed infrastructures by scientific applications has been limited by the availability of extensible, pervasive and simple-to-use abstractions which are required at multiple levels - development, deployment and execution stages of scientific applications. The pilot-job abstraction has been shown to be an effective abstraction to address many requirements...

    Provided By Louisiana State University

  • White Papers // Sep 2009

    An Innovative Application Execution Toolkit for Multicluster Grids

    Multi-cluster grids provide one promising solution to satisfying growing computation demands of compute-intensive applications by collaborating various networked clusters. However, it is challenging to seamlessly integrate all participating clusters in different domains into a virtual computation platform. In order to take full advantages of multi-cluster grids capability, computer scientists need...

    Provided By Louisiana State University

  • White Papers // Aug 2009

    Multidimensional Visualization Tools for Analysis of Expression Data

    Expression data analysis is based mostly on the statistical approaches that are indispensable for the study of biological systems. Large amounts of multidimensional data resulting from the high-throughput technologies are not completely served by biostatistical techniques and are usually complemented with visual, knowledge discovery and other computational tools. In many...

    Provided By Louisiana State University

  • White Papers // Aug 2009

    Physical Layer Security in Wireless Networks: Intelligent Jamming and Eavesdropping

    As the title suggests, the present dissertation is focused on the physical layer security in wireless networks. The concept of communication security is linked to two main desired features. The first of these is the system reliability, which means that a certain message (encoded for transmission and transmitted over a...

    Provided By Louisiana State University

  • White Papers // Jul 2009

    Programming Abstractions for Data Intensive Computing on Clouds and Grids

    MapReduce has emerged as an important data-parallel programming model for data-intensive computing - for clouds and grids. However most if not all implementations of MapReduce are coupled to a specific infrastructure. SAGA is a high-level programming interface which provides the ability to create distributed applications in an infrastructure independent way....

    Provided By Louisiana State University

  • White Papers // Jan 2009

    A Case Study: Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections

    Application features such as port numbers are used by Network-based Intrusion Detection Systems (NIDSs) to detect attacks coming from networks. System calls and the operating system related information are used by Host-based Intrusion Detection Systems (HIDSs) to detect intrusions towards a host. However, the relationship between hardware architecture events and...

    Provided By Louisiana State University

  • White Papers // Dec 2008

    Versatile Prediction and Fast Estimation of Architectural Vulnerability Factor from Processor Performance Metrics

    The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerability Factor (AVF) reflects the possibility that a transient fault eventually causes a visible error in the program output, and it indicates a system's susceptibility to transient faults. Therefore,...

    Provided By Louisiana State University

  • White Papers // Dec 2008

    SecCMP: Enhancing Critical Secrets Protection in Chip-Multiprocessors

    Security has been considered as an important issue in processor design. Most of the existing designs of security handling assume the chip as a single secure unit. However, such assumption is vulnerable to exposure resulted from a central failure point. In this paper, the authors propose a Secure Chip Multi-Processor...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Diversity-Multiplexing Tradeoff of Asynchronous Cooperative Diversity in Wireless Networks

    Synchronization of relay nodes is an important and critical issue in exploiting cooperative diversity in wireless networks. In this paper, two asynchronous cooperative diversity schemes are proposed, namely, distributed delay diversity and asynchronous space-time coded cooperative diversity schemes. In terms of the overall Diversity-Multiplexing (DM) tradeoff of a relay channel,...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Using Misbehavior to Analyze Strategic Versus Aggregate Energy Minimization in Wireless Sensor Networks

    The authors present a novel formulation of the problem of energy misbehavior and develop an analytical framework for quantifying its impact on other nodes. Specifically, they formulate two versions of the power control problem for wireless sensor networks with latency constraints arising from duty cycle allocations. In the first version,...

    Provided By Louisiana State University

  • White Papers // Sep 2011

    Distributed Source Coding for Sensor Data Model

    The authors measure reliability in sensor networks which are dependent on limited resources of individual sensor nodes such has battery capacity, transmission range and channel interference due to simultaneous wireless transmissions. From the initial simulation it is estimated that the routing errors using a distributed algorithm for a large network...

    Provided By Louisiana State University

  • White Papers // Mar 2010

    A Dynamic Capabilities Approach to Understanding the Impact of IT-Enabled Businesses Processes and IT-Business Alignment on the Strategic and Operational Performance of the Firm

    For the past two decades, researchers have sought to understand how IT investment leads to organizational success. However, this has proven to be an elusive goal. The authors posit that a new perspective is needed to better understand IT investment. They must examine how the investment is enacted and reflected...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    A New Paradigm in Data Intensive Computing: Stork and the Data-Aware Schedulers

    The unbounded increase in the computation and data requirements of scientific applications has necessitated the use of widely distributed compute and storage resources to meet the demand. In a widely distributed environment, data is no more locally accessible and has thus to be remotely retrieved and stored. Efficient and reliable...

    Provided By Louisiana State University

  • White Papers // Sep 2010

    Simplifying Complex Software Assembly: The Component Retrieval Language and Implementation

    Assembling simulation software along with the associated tools and utilities is a challenging endeavor, particularly when the components are distributed across multiple source code versioning systems. It is problematic for researchers compiling and running the software across many different supercomputers, as well as for novices in a field who are...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Optimal Channel Equalization for MIMO Time-Varying Channels

    The authors consider optimal channel equalization for MIMO (Multi-Input/Multi-Output) time-varying channels in the sense of MMSE (Minimum Mean-Squared-Error), where the observation noise can be non-stationary. They show that all ZF (Zero-Forcing) receivers can be parameterized in an affine form which eliminates completely the ISI (Inter-Symbol-Interference), and optimal channel equalizers can...

    Provided By Louisiana State University

  • White Papers // Dec 2010

    MobiCon: Mobile Context Monitoring Platform for Sensor-Rich Dynamic Environments

    The authors present a new mobile context monitoring platform to support emerging pervasive applications in a Personal Area Network (PAN)-scale dynamic mobile computing environment. Composed of a mobile device and many wearable and space-embedded sensors, the PAN-scale computing environment will constitute an important part of future pervasive spaces technology. The...

    Provided By Louisiana State University

  • White Papers // Jan 2009

    A Case Study: Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections

    Application features such as port numbers are used by Network-based Intrusion Detection Systems (NIDSs) to detect attacks coming from networks. System calls and the operating system related information are used by Host-based Intrusion Detection Systems (HIDSs) to detect intrusions towards a host. However, the relationship between hardware architecture events and...

    Provided By Louisiana State University

  • White Papers // Aug 2009

    Physical Layer Security in Wireless Networks: Intelligent Jamming and Eavesdropping

    As the title suggests, the present dissertation is focused on the physical layer security in wireless networks. The concept of communication security is linked to two main desired features. The first of these is the system reliability, which means that a certain message (encoded for transmission and transmitted over a...

    Provided By Louisiana State University

  • White Papers // Aug 2009

    Multidimensional Visualization Tools for Analysis of Expression Data

    Expression data analysis is based mostly on the statistical approaches that are indispensable for the study of biological systems. Large amounts of multidimensional data resulting from the high-throughput technologies are not completely served by biostatistical techniques and are usually complemented with visual, knowledge discovery and other computational tools. In many...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Connectivity-Through-Time Protocols for Dynamic Wireless Networks to Support Mobile Robot Teams

    Mobile robot teams are increasingly deployed in various applications involving remote operations in unstructured environments that do not support wireless network infrastructures. The authors propose a class of protocols based on the connectivity-through-time concepts that exploit the robot movements to extend the traditional notions of network connectivity. These protocols enable...

    Provided By Louisiana State University

  • White Papers // Mar 2010

    Breaking Down The Barriers: Competition, Syndicate Structure, And Underwriting Incentives

    The authors argue that the entry of commercial banks into bond underwriting led to the evolution of co-led underwriting arrangements and lowered the screening incentives of underwriters. Lead underwriters in co-led syndicates faced weaker incentives to screen issuer quality. In boom markets, issues underwritten by co-led syndicates were more likely...

    Provided By Louisiana State University

  • White Papers // Dec 2008

    SecCMP: Enhancing Critical Secrets Protection in Chip-Multiprocessors

    Security has been considered as an important issue in processor design. Most of the existing designs of security handling assume the chip as a single secure unit. However, such assumption is vulnerable to exposure resulted from a central failure point. In this paper, the authors propose a Secure Chip Multi-Processor...

    Provided By Louisiana State University

  • White Papers // Dec 2010

    Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure

    Azure is an emerging cloud platform developed and operated by Microsoft. It provides a range of abstractions and building blocks for creating scalable and reliable scientific applications. In this paper the authors investigate the applicability of the azure abstractions to the well-known class of loosely coupled and ensemble-based applications. They...

    Provided By Louisiana State University

  • White Papers // Feb 2010

    SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems

    The uptake of distributed infrastructures by scientific applications has been limited by the availability of extensible, pervasive and simple-to-use abstractions which are required at multiple levels - development, deployment and execution stages of scientific applications. The pilot-job abstraction has been shown to be an effective abstraction to address many requirements...

    Provided By Louisiana State University

  • White Papers // Jul 2009

    Programming Abstractions for Data Intensive Computing on Clouds and Grids

    MapReduce has emerged as an important data-parallel programming model for data-intensive computing - for clouds and grids. However most if not all implementations of MapReduce are coupled to a specific infrastructure. SAGA is a high-level programming interface which provides the ability to create distributed applications in an infrastructure independent way....

    Provided By Louisiana State University

  • White Papers // Dec 2010

    Autonomic Management of Application Workflows on Hybrid Computing Infrastructure

    In this paper, the authors present a programming and runtime framework that enables the autonomic management of complex application workflows on hybrid computing infrastructures. The framework is designed to address system and application heterogeneity and dynamics to ensure that application objectives and constraints are satisfied. The need for such autonomic...

    Provided By Louisiana State University

  • White Papers // Sep 2013

    Parametric GPU Code Generation for Affine Loop Programs

    Partitioning a parallel computation into finitely sized chunks for effective mapping onto a parallel machine is a critical concern for source-to-source compilation. In the context of OpenCL and CUDA, this translates to the definition of a uniform hyper-rectangular partitioning of the parallel execution space where each partition is subject to...

    Provided By Louisiana State University

  • White Papers // Sep 2009

    An Innovative Application Execution Toolkit for Multicluster Grids

    Multi-cluster grids provide one promising solution to satisfying growing computation demands of compute-intensive applications by collaborating various networked clusters. However, it is challenging to seamlessly integrate all participating clusters in different domains into a virtual computation platform. In order to take full advantages of multi-cluster grids capability, computer scientists need...

    Provided By Louisiana State University

  • White Papers // Apr 2014

    Mitigating NBTI Degradation on FinFET GPUs through Exploiting Device Heterogeneity

    Recent experimental studies reveal that FinFET devices commercialized in recent years tend to suffer from more severe NBTI degradation compared to planar transistors, necessitating effective techniques on processors built with FinFET for endurable operations. The authors propose to address this problem by exploiting the device heterogeneity and leveraging the slower...

    Provided By Louisiana State University

  • White Papers // Apr 2014

    Increasing Off-Chip Bandwidth in Multi-Core Processors with Switchable Pins

    Off-chip memory bandwidth has been considered as one of the major limiting factors to processor performance, especially for multi-cores and many-cores. Conventional processor design allocates a large portion of off-chip pins to deliver power, leaving a small number of pins for processor signal communication. The authors observed that the processor...

    Provided By Louisiana State University

  • White Papers // Sep 2011

    Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

    With the emergence of extreme scale computing, modern Graphics Processing Units (GPUs) have been widely used to build powerful supercomputers and data centers. In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia...

    Provided By Louisiana State University

  • White Papers // Jan 2011

    Efficient Prefetching with Hybrid Schemes and Use of Program Feedback to Adjust Prefetcher Aggressiveness

    Cache misses are a significant limitation on performance in modern processors because of long memory latencies. Performance can be improved by prefetching predictable memory access patterns in an effort to reduce or hide misses. The performance of some programs is dominated by cache misses and many of them can benefit...

    Provided By Louisiana State University

  • White Papers // Jan 2012

    Optimal Microarchitectural Design Configuration Selection for Processor Hard-Error Reliability

    Traditional design space exploration mainly focuses on performance and power consumption. However, as one of the first-class constraints for modern processor design, the relationship between hard-error reliability and processor configurations has not been well studied. In this paper, the authors investigate this relationship by exploring a large processor design space....

    Provided By Louisiana State University

  • White Papers // Feb 2011

    Universal Rules Guided Design Parameter Selection for Soft Error Resilient Processors

    High-performance processors suffer from soft error vulnerability due to the increasing on-chip transistor density, shrinking processor feature size, lower threshold voltage, etc. In this paper, the authors propose to use a rule search strategy, i.e. Patient Rule Induction Method (PRIM), to optimize processor soft error robustness. By exploring a huge...

    Provided By Louisiana State University

  • White Papers // Dec 2008

    Versatile Prediction and Fast Estimation of Architectural Vulnerability Factor from Processor Performance Metrics

    The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerability Factor (AVF) reflects the possibility that a transient fault eventually causes a visible error in the program output, and it indicates a system's susceptibility to transient faults. Therefore,...

    Provided By Louisiana State University

  • White Papers // Feb 2014

    Evaluating Application Resilience with XRay

    The rising count and shrinking feature size of transistors within modern computers is making them increasingly vulnerable to various types of soft faults. This problem is especially acute in High-Performance Computing (HPC) systems used for scientific computing, because these systems include many thousands of compute cores and nodes, all of...

    Provided By Louisiana State University

  • White Papers // Jan 2014

    Energy Efficient Job Scheduling in Single-ISA Heterogeneous Chip-Multiprocessors

    In recent years, single-ISA heterogeneous Chip Multi-Processors (CMP) consisting of big high-performance cores and small power-saving cores on the same die have been proposed for the exploration of high energy-efficiency. On such heterogeneous platforms, an appropriate runtime scheduling policy lies at the heart of program executions to benefit from the...

    Provided By Louisiana State University