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Future Contracts

by Christos Dimoulas, Riccardo Pucella, Matthias Felleisen , 2009
"... Many recent research projects focus on language support for behavioral software contracts, that is, assertions that govern the boundaries between software building blocks such as procedures, classes, or modules. Contracts primarily help locate bugs in programs, but they also tend to affect the perfo ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
the performance of the program, especially as they become complex. In this paper, we introduce future contracts and parallel contract checking: software contracts annotated with future are checked in parallel with the main program, exploiting the nowcommon multiple-core architecture. We present both a model and a

UCSF Chimera—a visualization system for exploratory research and analysis

by Eric F. Pettersen, Thomas D. Goddard, Conrad C. Huang, Gregory S. Couch, Daniel M. Greenblatt, Elaine C. Meng, Thomas E. Ferrin - J. Comput. Chem , 2004
"... Abstract: The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the ..."
Abstract - Cited by 504 (7 self) - Add to MetaCart
Abstract: The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures

Larrabee: a many-core x86 architecture for visual computing

by Larry Seiler, Doug Carmean, Eric Sprangle, Tom Forsyth, Michael Abrash, Pradeep Dubey, Stephen Junkins, Adam Lake, Jeremy Sugerman, Robert Cavin, Roger Espasa, Toni Juan, Pat Hanrahan - In SIGGRAPH ’08: ACM SIGGRAPH 2008 papers , 2008
"... Abstract 123 This paper presents a many-core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector proces ..."
Abstract - Cited by 279 (12 self) - Add to MetaCart
Abstract 123 This paper presents a many-core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector

BCube: A High Performance, Server-centric Network Architecture for Modular Data Centers

by Chuanxiong Guo, Guohan Lu, Dan Li, Haitao Wu, Xuan Zhang, Yunfeng Shi, Chen Tian, Yongguang Zhang, Songwu Lu - In SIGCOMM , 2009
"... This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of the BCube architecture is its server-centric network structure, where servers with multiple network ports connect to multiple layers of COTS (commodity off-t ..."
Abstract - Cited by 248 (31 self) - Add to MetaCart
This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of the BCube architecture is its server-centric network structure, where servers with multiple network ports connect to multiple layers of COTS (commodity off

Mcpat: An integrated power, area, and timing modeling framework for multicore and manycore architectures

by Sheng Li, Jung Ho Ahn, Richard D. Strong, Jay B. Brockman, Dean M. Tullsen - In Proceedings of the 42nd Annual Symposium on Microarchitecture , 2009
"... This paper introduces McPAT, an integrated power, area, and timing modeling framework that supports comprehensive design space exploration for multicore and manycore processor configurations ranging from 90nm to 22nm and beyond. At the microarchitectural level, McPAT includes models for the fundamen ..."
Abstract - Cited by 192 (4 self) - Add to MetaCart
for the fundamental components of a chip multiprocessor, including in-order and out-of-order processor cores, networks-on-chip, shared caches, integrated memory controllers, and multiple-domain clocking. At the circuit and technology levels, McPAT supports critical-path timing modeling, area modeling, and dynamic

Starpu: a unified platform for task scheduling on heterogeneous multicore architectures,

by Cédric Augonnet , Samuel Thibault , Raymond Namyst , Pierre-André Wacrenier - Concurrency and Computation: Practice and Experience , 2011
"... Abstract. In the field of HPC, the current hardware trend is to design multiprocessor architectures that feature heterogeneous technologies such as specialized coprocessors (e.g., Cell/BE SPUs) or data-parallel accelerators (e.g., GPGPUs). Approaching the theoretical performance of these architectu ..."
Abstract - Cited by 172 (15 self) - Add to MetaCart
of multiple cores and GPUs at the same time. In addition to substantial improvements regarding execution times, we obtained consistent superlinear parallelism by actually exploiting the heterogeneous nature of the machine.

RouteBricks: Exploiting Parallelism to Scale Software Routers

by Mihai Dobrescu, Norbert Egi, Katerina Argyraki, Byung-gon Chun, Kevin Fall, Gianluca Iannaccone, Allan Knies, Maziar Manesh, Sylvia Ratnasamy - In Proceedings of the 22nd ACM Symposium on Operating Systems Principles , 2009
"... We revisit the problem of scaling software routers, motivated by recent advances in server technology that enable highspeed parallel processing—a feature router workloads appear ideally suited to exploit. We propose a software router architecture that parallelizes router functionality both across mu ..."
Abstract - Cited by 173 (15 self) - Add to MetaCart
multiple servers and across multiple cores within a single server. By carefully exploiting parallelism at every opportunity, we demonstrate a 35Gbps parallel router prototype; this router capacity can be linearly scaled through the use of additional servers. Our prototype router is fully programmable using

The impact of performance asymmetry in emerging multicore architectures

by Saisanthosh Balakrishnan, Ravi Rajwar, Mike Upton, Konrad Lai - In Proceedings of the 32nd Annual International Symposium on Computer Architecture , 2005
"... Performance asymmetry in multicore architectures arises when individual cores have different performance. Building such multicore processors is desirable because many simple cores together provide high parallel performance while a few complex cores ensure high serial performance. However, applicatio ..."
Abstract - Cited by 124 (0 self) - Add to MetaCart
Performance asymmetry in multicore architectures arises when individual cores have different performance. Building such multicore processors is desirable because many simple cores together provide high parallel performance while a few complex cores ensure high serial performance. However

Bandwidth-Constrained Mapping of Cores onto NoC Architectures

by Srinivasan Murali, Giovanni De Micheli , 2004
"... We address the design of complex monolithic systems, where processing cores generate and consume a varying and large amount of data, thus bringing the communication links to the edge of congestion. Typical applications are in the area of multi-media processing. We consider a meshbased Networks on Ch ..."
Abstract - Cited by 124 (2 self) - Add to MetaCart
by splitting the traffic between the cores across multiple paths. In this paper, we present NMAP, a fast algorithm that maps the cores onto a mesh NoC architecture under bandwidth constraints, minimizing the average communication delay. The NMAP algorithm is presented for both single minimum-path routing

Implementing sparse matrix-vector multiplication on throughput-oriented processors

by Nathan Bell, Michael Garland - In SC ’09: Proceedings of the 2009 ACM/IEEE conference on Supercomputing , 2009
"... Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations encounter a broad spectrum of matrices ranging from the regular to the highly irregular. Harnessing the tremendous potential ..."
Abstract - Cited by 142 (7 self) - Add to MetaCart
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations encounter a broad spectrum of matrices ranging from the regular to the highly irregular. Harnessing the tremendous
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