Harvard University

Displaying 1-40 of 144 results

  • White Papers // Jan 2014

    Performance, Energy, and Thermal Considerations for SMT and CMP Architectures

    Simultaneous Multi-Threading (SMT) and Chip Multi-Processing (CMP) both allow a chip to achieve greater throughput, but their relative energy-efficiency and thermal properties are still poorly understood. In this paper, the authors use Turandot, PowerTimer, and HotSpot to explore this design space for a POWER4/POWER5-like core. For an equal-area comparison with...

    Provided By Harvard University

  • White Papers // Jan 2014

    Cache-Fair Thread Scheduling for Multicore Processors

    The authors present a new operating system scheduling algorithm for multicore processors. Their algorithm reduces the effects of unequal CPU cache sharing that occur on these processors and cause unfair CPU sharing, priority inversion, and inadequate CPU accounting. They describe the implementation of their algorithm in the Solaris operating system...

    Provided By Harvard University

  • White Papers // Jan 2014

    Performance of Multithreaded Chip Multiprocessors and Implications for Operating System Design

    The authors investigated how operating system design should be adapted for Multi-Threaded (MT) Chip Multi-Processors (CMP) - a new generation of processors that exploit thread-level parallelism to mask the memory latency in modern workloads. They determined that the L2 cache is a critical shared resource on CMT and that an...

    Provided By Harvard University

  • White Papers // Jan 2014

    A Dynamic Compilation Framework for Controlling Microprocessor Energy and Performance

    Dynamic Voltage and Frequency Scaling (DVFS) is an effective technique for controlling microprocessor energy and performance. Existing DVFS techniques are primarily based on hardware, OS time-interrupts, or static-compiler techniques. However, substantially greater gains can be realized when control opportunities are also explored in a dynamic compilation environment. There are several...

    Provided By Harvard University

  • White Papers // Jul 2013

    A Uniform Min-Max Theorem with Applications in Cryptography

    The authors present a new, more constructive proof of von neumann's min-max theorem for two-player zero-sum game - specifically, an algorithm that builds a near-optimal mixed strategy for the second player from several best-responses of the second player to mixed strategies of the first player. The algorithm extends previous paper...

    Provided By Harvard University

  • White Papers // Jun 2013

    Energy Characterization and Instruction-Level Energy Model of Intel's Xeon Phi Processor

    Current processors increasingly exploit Thread-Level Parallelism (TLP) to improve performance. As a result, multi-core/multi-thread processors are becoming the dominant architectures for domains ranging from mobile platforms to high-performance computing. As technology scales, the number of transistors available will continue to grow every generation. To make full use of those transistors...

    Provided By Harvard University

  • White Papers // Jun 2013

    Characterizing and Evaluating Voltage Noise in Multi-Core Near-Threshold Processors

    Lowering the supply voltage to improve energy efficiency leads to higher load current and elevated supply sensitivity. In this paper, the authors provide the first quantitative analysis of voltage noise in multi-core near-threshold processors in a future 10nm technology across SPEC CPU2006 benchmarks. Their results reveal larger guardband requirement and...

    Provided By Harvard University

  • White Papers // Jun 2013

    Quantifying Acceleration: Power/Performance Trade-Offs of Application Kernels in Hardware

    As the traditional performance gains of technology scaling diminish, one of the most promising directions is building special purpose fixed function hardware blocks, commonly referred to as accelerators. Accelerators have become prevalent in industrial SoC designs for their low power, high performance potential. In this paper, the authors explore thousands...

    Provided By Harvard University

  • White Papers // Mar 2013

    A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor Networks

    Given the sensitivity of the potential WSN applications and because of resource limitations, key management emerges as a challenging issue for WSNs. One of the main concerns when designing a key management scheme is the network scalability. Indeed, the protocol should support a large number of nodes to enable a...

    Provided By Harvard University

  • White Papers // Mar 2013

    Measuring Code Optimization Impact on Voltage Noise

    In this paper, the authors characterize the impact of compiler optimizations on voltage noise. While intuition may suggest that the better processor utilization ensured by optimizing compilers results in a small amount of voltage variation, their measurements on a Intel R Core Duo processor show the opposite - the majority...

    Provided By Harvard University

  • White Papers // Feb 2013

    ISA-Independent Workload Characterization and its Implications for Specialized Architectures

    Specialized architectures will become increasingly important as the computing industry demands more energy-efficient designs. The application-centric design style for these architectures is heavily dependent on workload characterization of intrinsic program characteristics, but at the same time these architectures are likely to be decoupled from legacy ISAs. In this paper, the...

    Provided By Harvard University

  • White Papers // Jan 2013

    Scaling Network-Based Spectrum Analyzer With Constant Communication Cost

    The authors propose a spectrum analyzer that leverages many networked commodity sensor nodes, each of which samples its portion in a wideband spectrum. The sensors operate in parallel and transmit their measurements over a wireless network without performing any significant computations such as FFT. The measurements are forwarded to the...

    Provided By Harvard University

  • White Papers // Oct 2012

    Loopy Belief Propagation as a Basis for Communication in Sensor Networks

    Sensor networks are an exCltmg new kmd of computer system. Consisting of a large number of tiny, cheap computational devices physically distributed in an environment, they gather and process data about the environment in real time. One of the central questions in sensor networks is what to do with the...

    Provided By Harvard University

  • White Papers // Sep 2012

    Compressed Statistical Testing and Application to Radar

    The authors present Compressed Statistical Testing (CST) with an illustrative application to radar target detection. They characterize an optimality condition for a compressed domain test to yield the same result as the corresponding test in the uncompressed domain. They demonstrate by simulation that under high SNR, a likelihood ratio test...

    Provided By Harvard University

  • White Papers // Aug 2012

    Output Compression for IC Fault Detection Using Compressive Sensing

    The process of detecting logical faults in Integrated Circuits (ICs) due to manufacturing variations is bottlenecked by the I/O cost of scanning in test vectors and offloading test results. Traditionally, the output bottleneck is alleviated by reducing the number of bits in output responses using XOR networks, or computing signatures...

    Provided By Harvard University

  • White Papers // Aug 2012

    Determining RF Angle of Arrival Using COTS Antenna Arrays: A Field Evaluation

    The authors are interested in estimating the angle of arrival of an RF signal by using Commercial-Off-The-Shelf (COTS) Software-Defined Radios (SDRs). The proposed COTS-based approach has the advantages of flexibility, low cost and ease of deployment, but - unlike traditional phased antenna arrays in which elements are already phase-aligned -...

    Provided By Harvard University

  • White Papers // Aug 2012

    Compressive Sensing With Optimal Sparsifying Basis and Applications in Spectrum Sensing

    The authors describe a method of integrating Karhunen-Loeve Transform (KLT) into compressive sensing, which can as a result improve the compression ratio without affecting the accuracy of decoding. They present two complementary results: by using KLT to find an optimal basis for decoding they can drastically reduce the number of...

    Provided By Harvard University

  • White Papers // Aug 2012

    Compressive Sensing Medium Access Control for Wireless LANs

    The authors propose a Medium Access Control (MAC) protocol for wireless Local Area Networks (LANs) that leverages the theory of compressive sensing. The proposed Compressive Sensing MAC (CS-MAC) exploits the sparse property that, at a given time, only a few hosts are expected to request for radio channel access. Under...

    Provided By Harvard University

  • White Papers // Jul 2012

    A Chip Architecture for Compressive Sensing Based Detection of Ic Trojans

    The authors present a chip architecture for a compressive sensing based method that can be used in conjunction with the JTAG standard to detect IC Trojans. The proposed architecture compresses chip output resulting from a large number of test vectors applied to a Circuit Under Test (CUT). They describe their...

    Provided By Harvard University

  • White Papers // Jun 2012

    Designing Informative Securities

    The authors create a formal framework for the design of informative securities in prediction markets. These securities allow a market organizer to infer the likelihood of events of interest as well as if he knew all of the traders' private signals. They consider the design of markets that are always...

    Provided By Harvard University

  • White Papers // May 2012

    Verifiable Computation With Massively Parallel Interactive Proofs

    As the cloud computing paradigm has gained prominence, the need for verifiable computation has grown increasingly urgent. Protocols for verifiable computation enable a weak client to outsource difficult computations to a powerful, but untrusted server, in a way that provides the client with a guarantee that the server performed the...

    Provided By Harvard University

  • White Papers // May 2012

    Motivating Software-Driven Current Balancing in Flexible Voltage-Stacked Multicore Processors

    Computing hardware has been shifting to a multicore paradigm. One extreme of that approach is many-core computing, where a large number of simple processor cores execute in throughput mode. However, this paradigm is not ubiquitous and latency-bound applications do have a place in the workloads of the future. The authors...

    Provided By Harvard University

  • White Papers // Apr 2012

    Performance Gains in Conjugate Gradient Computation With Linearly Connected GPU Multiprocessors

    Conjugate gradient is an important iterative method used for solving least squares problems. It is compute-bound and generally involves only simple matrix computations. One would expect that the authors could fully parallelize such computation on the GPU architecture with multiple Stream Multiprocessors (SMs), each consisting of many SIMD processing units....

    Provided By Harvard University

  • White Papers // Apr 2012

    Learning Is Change in Knowledge: Knowledge-Based Security for Dynamic Policies

    In systems that handle confidential information, the security policy to enforce on information frequently changes: new users join the system, old users leave, and sensitivity of data changes over time. It is challenging, yet important, to specify what it means for such systems to be secure, and to gain assurance...

    Provided By Harvard University

  • White Papers // Mar 2012

    MonetDB: Two Decades of Research in Column-oriented Database Architectures

    MonetDB is a state-of-the-art open-source column-store database management system targeting applications in need for analytics over large collections of data. MonetDB is actively used nowadays in health care, in telecommunications as well as in scientific databases and in data management research, accumulating on average more than 10,000 downloads on a...

    Provided By Harvard University

  • White Papers // Mar 2012

    Adaptive Indexing in Modern Database Kernels

    Physical design represents one of the hardest problems for database management systems. Without proper tuning, systems cannot achieve good performance. Offline indexing creates indexes a priori assuming good workload knowledge and idle time. More recently, online indexing monitors the workload trends and creates or drops indexes online. Adaptive indexing takes...

    Provided By Harvard University

  • White Papers // Feb 2012

    Modeling Internet-Scale Policies for Cleaning Up Malware

    The results of the authors' experiments using ASIM indicate that when filtering wicked traffic, the best targets for intervention are a small group of the largest ASes. Specifically, they find that intervention by the top 0.2% of ASes (in terms of size) is more effective than intervention by a randomly...

    Provided By Harvard University

  • White Papers // Dec 2011

    Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays

    Incorporating wireless transceivers with numerous antennas (such as Massive-MIMO) is a prospective way to increase the link capacity or enhance the energy efficiency of future communication systems. However, the benefits of such approach can be realized only when proper channel information is available at the transmitter. Since the amount of...

    Provided By Harvard University

  • White Papers // Oct 2011

    Information-Theoretic Limits of Dense Underwater Networks

    Information-theoretic throughput scaling laws are analyzed in an underwater acoustic network with n regularly located nodes on a unit square, in which both bandwidth and received signal power can be severely limited. A narrow-band model is assumed where the carrier frequency is allowed to scale as a function of n....

    Provided By Harvard University

  • White Papers // Sep 2011

    External-Memory Multimaps

    Many data structures support dictionaries, also known as maps or associative arrays, which store and manage a set of key-value pairs. A multimap is generalization that allows multiple values to be associated with the same key. For example, the inverted file data structure that is used prevalently in the infrastructure...

    Provided By Harvard University

  • White Papers // Aug 2011

    Measurement Combining and Progressive Reconstruction in Compressive Sensing

    Compressive sensing has emerged as an important new technique in signal acquisition due to the surprising property that a sparse signal can be captured from measurements obtained at a sub-Nyquist rate. The decoding cost of compressive sensing, however, grows superlinearly with the problem size. In distributed sensor systems, the aggregate...

    Provided By Harvard University

  • White Papers // Aug 2011

    Collaborative Compressive Spectrum Sensing in a UAV Environment

    Spectrum sensing is of fundamental importance to many wireless applications including cognitive radio channel assignment and radiolocation. However, conventional spectrum sensing can be prohibitively expensive in computation and network bandwidth when the bands under scanning are wide and highly contested. In this paper, the authors propose distributed spectrum sensing with...

    Provided By Harvard University

  • White Papers // Aug 2011

    Partitioned Compressive Sensing With Neighbor-Weighted Decoding

    Compressive sensing has gained momentum in recent years as an exciting new theory in signal processing with several useful applications. It states that signals known to have a sparse representation may be encoded and later reconstructed using a small number of measurements, approximately proportional to the signal's sparsity rather than...

    Provided By Harvard University

  • White Papers // Jul 2011

    DISTROY: Detecting Integrated Circuit Trojans With Compressive Measurements

    Detecting Trojans in an Integrated Circuit (IC) is an important but hard problem. A Trojan is malicious hardware - it can be extremely small in size and dormant until triggered by some unknown circuit state. To allow wake-up, a Trojan could draw a minimal amount of power, for example, to...

    Provided By Harvard University

  • White Papers // May 2011

    Provenance Integration Requires Reconciliation

    While there has been a great deal of research on provenance systems, there has been little discussion about challenges that arise when making different provenance systems interoperate. In fact, most of the literature focuses on provenance systems in isolation and does not discuss interoperability - what it means, its requirements,...

    Provided By Harvard University

  • White Papers // May 2011

    Collecting Provenance Via the Xen Hypervisor

    The Provenance Aware Storage Systems project (PASS) currently collects system-level provenance by intercepting system calls in the Linux kernel and storing the provenance in a stackable filesystem. While this approach is reasonably efficient, it suffers from two significant drawbacks: each new revision of the kernel requires reintegration of PASS changes,...

    Provided By Harvard University

  • White Papers // May 2011

    Separation-Based Joint Decoding in Compressive Sensing

    The authors introduce a joint decoding method for compressive sensing that can simultaneously exploit sparsity of individual components of a composite signal. Their method can significantly reduce the total number of variables decoded jointly by separating variables of large magnitudes in one domain and using only these variables to represent...

    Provided By Harvard University

  • White Papers // May 2011

    Provenance Map Orbiter: Interactive Exploration of Large Provenance Graphs

    Provenance systems can produce enormous provenance graphs that can be used for a variety of tasks from determining the inputs to a particular process to debugging entire workflow executions or tracking difficult-to-find dependencies. Visualization can be a useful tool to support such tasks, but graphs of such scale (thousands to...

    Provided By Harvard University

  • White Papers // May 2011

    CloudSense: Continuous Fine-Grain Cloud Monitoring With Compressive Sensing

    Continuous fine-grain status monitoring of a cloud data center enables rapid response to anomalies, but handling the resulting torrent of data poses a significant challenge. As a solution, the authors propose CloudSense, a new switch design that performs in-network compression of status streams via compressive sensing. Using MapReduce straggler detection...

    Provided By Harvard University

  • White Papers // May 2011

    Achieving High Throughput Ground-to-UAV Transport Via Parallel Links

    Wireless data transfer under high mobility, as found in Unmanned Aerial Vehicle (UAV) applications, is a challenge due to varying channel quality and extended link outages. The authors present FlowCode, an easily deployable link-layer solution utilizing multiple transmitters and receivers for the purpose of supporting existing transport protocols such as...

    Provided By Harvard University

  • White Papers // Aug 2004

    Robust Nonrigid Registration to Capture Brain Shift From Intraoperative MRI

    The intraoperative magnetic resonance imaging system allows the neurosurgeon to acquire images of the brain during the neurosurgical procedure. In the case of brain tumor resection, this system helps to follow the deformation of the brain. However, even if it provides significantly more information than any other intraoperative imaging system,...

    Provided By Harvard University

  • White Papers // Feb 2004

    Residential Supply Chain in Transition: Summary of Findings From Survey of Dealers

    The past several years have seen dramatic changes in the distribution of residential building products, particularly as it relates to dealers serving homebuilders, remodeling contractors and others in the building trades (pro dealers). The rise of the large national homebuilder appears to be giving rise to changes in the distribution...

    Provided By Harvard University

  • White Papers // May 2005

    Counterfeit Drugs: A Growing Public Health Risk in Need of a Multi-Factored Solution

    Counterfeit drugs are those drugs that have been tampered with such that they are not what they purport to be. These drugs can be sub-potent, super-potent, contain only inactive ingredients, contain no medication whatsoever, or have false labels. While counterfeit drugs are a huge problem particularly in developing countries, the...

    Provided By Harvard University

  • White Papers // Sep 2009

    CAD and Image Standards for Construction Documentation

    This paper outlines how to produce and deliver CAD drawings and raster images of as-built construction drawings. For purposes of this document image files refer to the TIF format. The University Planning Office revised this standard in January 2009. Prior versions were published in 2006, 2002, 1999, 1996 and 1994....

    Provided By Harvard University

  • White Papers // Dec 2010

    Fire Sales In Finance And Macroeconomics

    Fire sales are forced sales of assets in which high-valuation bidders are sidelined, typically due to debt overhang problems afflicting many specialist bidders simultaneously. The authors overview theoretical and empirical research on asset fire sales, which shows how they can arise, how they can lead to asset under-valuations, how contracts...

    Provided By Harvard University

  • White Papers // Dec 2009

    Climate Finance: Key Concepts And Ways Forward

    Climate finance is fundamental to curbing anthropogenic climate change. Compared, however, to the negotiations over emissions reduction timetables, commitments, and architectures, climate finance issues have received only limited and belated attention. Assuring delivery and appropriate use of the financial resources needed to achieve emissions reductions and secure adaptation to climate...

    Provided By Harvard University

  • White Papers // Mar 2010

    Conceptual Foundations Of The Balanced Scorecard

    The paper was based on a multi-company research project to study performance measurement in companies whose intangible assets played a central role in value creation. The author believed that if companies were to improve the management of their intangible assets, they had to integrate the measurement of intangible assets into...

    Provided By Harvard University

  • White Papers // Feb 2008

    A Right To Work? A Right To Holidays With Pay? Labor Rights As Human Rights

    This paper first tries to make it plausible why labor rights would appear on the list of human rights, and next articulates some philosophical objections to their presence there. The interesting question then is not how one could respond to the objections, but to explore what commitments one needs to...

    Provided By Harvard University

  • White Papers // Nov 2010

    Payout Taxes And The Allocation Of Investment

    When corporate payout is taxed, internal equity is cheaper than external equity. If there are no perfect substitutes for equity finance, payout taxes may therefore have an effect on the investment of firms. High taxes will favor investment by firms who can finance internally. Using an international panel with many...

    Provided By Harvard University

  • White Papers // Jul 2010

    A Comparative-Advantage Approach To Government Debt Maturity

    This paper studies optimal government debt maturity in a model where investors derive monetary services from holding riskless short-term securities. In a simple setting where the government is the only issuer of such riskless paper, it trades off the monetary premium associated with short-term debt against the refinancing risk implied...

    Provided By Harvard University

  • White Papers // Dec 2010

    Issuer Quality And Corporate Bond Returns

    Changes in the pricing of credit risk disproportionately affect the debt financing costs faced by low credit quality firms. As a result, time-series variation in the average quality of debt issuers may be useful for forecasting excess corporate bond returns. The results can be partially explained by models in which...

    Provided By Harvard University

  • White Papers // Dec 2010

    Lawful But Corrupt: Gaming And The Problem Of Institutional Corruption In The Private Sector

    This paper describes how the gaming of society's rules by corporations contributes to the problem of institutional corruption in the world of business. "Gaming" in its various forms involves the use of technically legal means to subvert the intent of society's rules in order to gain advantage over rivals, maximize...

    Provided By Harvard University

  • White Papers // Feb 2010

    Will I Stay Or Will I Go? Cooperative And Competitive Effects Of Workgroup Sex And Race Composition On Turnover

    The authors develop an integrated theory of the social identity mechanisms linking workgroup sex and race composition across levels with individual turnover. Analyzing longitudinal human resource data on professionals employed in a large up-or-out knowledge organization, they assess the distinct effects of demographic match with superiors and demographic match with...

    Provided By Harvard University

  • White Papers // Dec 2009

    Policy Bundling To Overcome Loss Aversion: A Method For Improving Legislative Outcomes

    Policies that would create net benefits for society but would also involve costs frequently lack the necessary support to be enacted because losses loom larger than gains psychologically. To reduce the harmful consequence of loss aversion, the authors propose a new type of policy bundling technique in which related bills...

    Provided By Harvard University

  • White Papers // Nov 2009

    Walking The Talk In Multiparty Bargaining: An Experimental Investigation

    The authors study the framing effects of communication in multiparty bargaining. Communication has been shown to be more truthful and revealing than predicted in equilibrium. Because talk is preference revealing, it may effectively frame bargaining around logic of fairness or competition, moving parties on a path toward or away from...

    Provided By Harvard University

  • White Papers // Oct 2009

    The End Of Chimerica

    For the better part of the past decade, the world economy has been dominated by a world economic order that combined Chinese export-led development with US overconsumption. First, the scale of Chinese currency intervention was without precedent, as were the resulting distortions of the world economy. Second, the Chinese have...

    Provided By Harvard University

  • White Papers // Jan 2010

    Does Product Market Competition Lead Firms To Decentralize?

    In this paper the authors investigate whether greater product market competition increases decentralization. To tackle the issues they collected detailed information on the internal organization of firms across nations. The few datasets that exist are either from a single industry or (at best) across many firms in a single country....

    Provided By Harvard University

  • White Papers // Mar 2010

    The Impact Of Private Equity Ownership On Portfolio Firms? Corporate Tax Planning

    This paper investigates whether private equity (PE) firms influence the tax practices of their portfolio firms. Prior research documents that PE firms create economic value in portfolio firms through effective governance, financial, and operational engineering. Given PE firms' focus on value creation, the authors examine whether PE firms influence the...

    Provided By Harvard University

  • White Papers // Jul 2010

    The Task And Temporal Microstructure Of Productivity: Evidence From Japanese Financial Services

    Sustaining workers' productivity is critical to organizations' operational success. Yet, comparatively little attention has been given to how managers can effectively allocate work across tasks and time to improve workers' performance. In this paper, the author uses the learning curve framework to investigate how productivity varies within task and within...

    Provided By Harvard University

  • White Papers // Jul 2010

    Financing Risk And Bubbles Of Innovation

    Investors in risky startups who stage their investments face financing risk - that is, the risk that later stage investors will not fund the startup, even if the fundamentals of the firm are still sound. They show that financing risk is part of a rational equilibrium where investors can flip...

    Provided By Harvard University

  • White Papers // May 2010

    Cyclicality Of Credit Supply: Firm Level Evidence

    The author tells the effect of bank loan supply through the business cycle using firm level data from 1990 to 2009. The contribution of the paper is to address two of the main empirical challenges in identifying the effects of bank credit supply. First, they focus on firms' choice between...

    Provided By Harvard University

  • White Papers // Jul 2010

    Unstable Equity? Combining Banking With Private Equity Investing

    Theoretical work suggests that banks can be driven by market mispricing to undertake activity in a highly cyclical manner, accelerating activity during periods when securities can be readily sold to other parties. While financial economists have largely focused on bank lending, banks are active in a variety of arenas, with...

    Provided By Harvard University

  • White Papers // May 2010

    Demand Response Pricing In Organized Wholesale Markets

    The Federal Energy Regulatory Commission's Notice of Proposed Rulemaking (NOPR) addresses the question of proper compensation for demand response in organized wholesale electricity markets. The Commission proposes to pay the full Locational Marginal Price (LMP) for all types of demand response acting as a resource in the energy market. The...

    Provided By Harvard University

  • White Papers // Oct 2010

    Cloud Computing & National Security Law

    In recent years, many computer and Internet functions have moved from users' computers to remote servers that make up a "Cloud" of data and processing power. "Cloud computing" has transformed users' computers from the start and end points of data creation and transmission into portals to view and modify data...

    Provided By Harvard University

  • White Papers // Aug 2010

    Social Networks, Personalized Advertising, And Privacy Controls

    This paper investigates how internet users' perception of control over their personal information affects how likely they are to click on online advertising. The paper uses data from a randomized field experiment that examined the relative effectiveness of personalizing ad copy to mesh with existing personal information on a social...

    Provided By Harvard University

  • White Papers // Jan 2010

    Green Computing: Can Computation Advance Sustainability? An Exploration

    The Green Computing Project was launched in January 2009 as a development and networking effort intended to bring the IIC's multidisciplinary approach to computational science and engineering to bear on the challenges of environmental sustainability. Over the longer term, the project aimed to catalyze faculty efforts around two main goals:...

    Provided By Harvard University

  • White Papers // Sep 2010

    Three Challenges Facing Modern Macroeconomics

    There are three great challenges facing researchers in modern macroeconomics today, all brought into sharp relief by the recent financial crisis. The first is to find more realistic, and yet tractable, ways to incorporate financial market frictions into the canonical models for analyzing monetary policy. The second is to rethink...

    Provided By Harvard University

  • White Papers // Feb 2010

    Mediation In Business-Related Human Rights Disputes: Objections, Opportunities And Challenges

    In his 2008 report to the United Nations Human Rights Council, Prof. John Ruggie, the Special Representative of the UN Secretary-General (SRSG) for Business and Human Rights, set out a three-part framework to advance a shared understanding of the complex interactions between companies and human rights. The framework, subsequently endorsed...

    Provided By Harvard University

  • White Papers // Dec 2009

    P2P Trading in Social Networks: The Value of Staying Connected

    The success of future P2P applications ultimately depends on whether users will contribute their bandwidth, CPU and storage resources to a larger community. In this paper, the authors propose a new incentive paradigm, Networked Asynchronous Bilateral Trading (NABT), which can be applied to a broad range of P2P applications. In...

    Provided By Harvard University

  • White Papers // May 2010

    Wireless Sensor Networks for Healthcare

    Driven by the confluence between the need to collect data about people's physical, physiological, psychological, cognitive, and behavioral processes in spaces ranging from personal to urban and the recent availability of the technologies that enable this data collection, wireless sensor networks for healthcare have emerged in the recent years. In...

    Provided By Harvard University

  • White Papers // Jan 2010

    The Drawdown Of Personal Retirement Assets Faculty Research

    How households draw down the balances that they accumulate in retirement saving accounts such as 401(k) plans and Individual Retirement Accounts can have an important effect on the contribution of these accounts to retirement income security. This paper presents evidence on the pattern of withdrawals at different ages. The authors...

    Provided By Harvard University

  • White Papers // Oct 2009

    Provenance as First Class Cloud Data

    Digital provenance is meta-data that describes the ancestry or history of a digital object. Most work on provenance focuses on how provenance increases the value of data to consumers. However, provenance is also valuable to storage providers. For example, provenance can provide hints on access patterns, detect anomalous behavior, and...

    Provided By Harvard University

  • White Papers // May 2010

    The Intensive Margin Of Technology Adoption

    The authors present a tractable model for analyzing the relationship between economic growth and the intensive and extensive margins of technology adoption. The "Extensive" margin refers to the timing of a country's adoption of a new technology; the "Intensive" margin refers to how many units are adopted (for a given...

    Provided By Harvard University

  • White Papers // Aug 2012

    Compressive Sensing Medium Access Control for Wireless LANs

    The authors propose a Medium Access Control (MAC) protocol for wireless Local Area Networks (LANs) that leverages the theory of compressive sensing. The proposed Compressive Sensing MAC (CS-MAC) exploits the sparse property that, at a given time, only a few hosts are expected to request for radio channel access. Under...

    Provided By Harvard University

  • White Papers // Apr 2012

    Performance Gains in Conjugate Gradient Computation With Linearly Connected GPU Multiprocessors

    Conjugate gradient is an important iterative method used for solving least squares problems. It is compute-bound and generally involves only simple matrix computations. One would expect that the authors could fully parallelize such computation on the GPU architecture with multiple Stream Multiprocessors (SMs), each consisting of many SIMD processing units....

    Provided By Harvard University

  • White Papers // Aug 2012

    Determining RF Angle of Arrival Using COTS Antenna Arrays: A Field Evaluation

    The authors are interested in estimating the angle of arrival of an RF signal by using Commercial-Off-The-Shelf (COTS) Software-Defined Radios (SDRs). The proposed COTS-based approach has the advantages of flexibility, low cost and ease of deployment, but - unlike traditional phased antenna arrays in which elements are already phase-aligned -...

    Provided By Harvard University

  • White Papers // Dec 2011

    Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays

    Incorporating wireless transceivers with numerous antennas (such as Massive-MIMO) is a prospective way to increase the link capacity or enhance the energy efficiency of future communication systems. However, the benefits of such approach can be realized only when proper channel information is available at the transmitter. Since the amount of...

    Provided By Harvard University

  • White Papers // Jul 2012

    A Chip Architecture for Compressive Sensing Based Detection of Ic Trojans

    The authors present a chip architecture for a compressive sensing based method that can be used in conjunction with the JTAG standard to detect IC Trojans. The proposed architecture compresses chip output resulting from a large number of test vectors applied to a Circuit Under Test (CUT). They describe their...

    Provided By Harvard University

  • White Papers // Aug 2012

    Output Compression for IC Fault Detection Using Compressive Sensing

    The process of detecting logical faults in Integrated Circuits (ICs) due to manufacturing variations is bottlenecked by the I/O cost of scanning in test vectors and offloading test results. Traditionally, the output bottleneck is alleviated by reducing the number of bits in output responses using XOR networks, or computing signatures...

    Provided By Harvard University

  • White Papers // Aug 2012

    Compressive Sensing With Optimal Sparsifying Basis and Applications in Spectrum Sensing

    The authors describe a method of integrating Karhunen-Loeve Transform (KLT) into compressive sensing, which can as a result improve the compression ratio without affecting the accuracy of decoding. They present two complementary results: by using KLT to find an optimal basis for decoding they can drastically reduce the number of...

    Provided By Harvard University