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检索条件"任意字段=2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011"

共 62 条记录，以下是1-10 订阅

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Proceedings - 2011 symposium on application accelerators in high-performance computing, saahpc 2011

Proceedings - 2011 Symposium on Application Accelerators in ...

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2011 symposium on application accelerators in high-performance computing, saahpc 2011

ISBN: (纸本)9780769544489

The proceedings contain 23 papers. The topics discussed include: GPU-accelerated wire-length estimation for FPGA placement;accelerating a climate physics model with openCL;experience applying Fortran GPU compilers to numerical weather prediction;a study of the performance of multifluid PPM gas dynamics on CPUs and GPUs;non-serial polyadic dynamic programming on a data-parallel many-core architecture;design and simulation of a rectangular meshotron unit prototype;transformation of scientific algorithms to parallel computing code: single GPU and MPI multi GPU backends with subdomain support;application of graphics processing units (GPUs) to the study of non-linear dynamics of the exciton Bose Einstein condensate in a semiconductor quantum well;porting optimized GPU kernels to a multi-core CPU: computational quantum chemistry application example;and adaptable two-dimension sliding Windows on NVIDIA GPUs with runtime compilation.

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Proceedings - 2012 symposium on application accelerators in high performance computing, saahpc 2012

Proceedings - 2012 Symposium on Application Accelerators in ...

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2012 symposium on application accelerators in high performance computing, saahpc 2012

ISBN: (纸本)9780769548388

The proceedings contain 22 papers. The topics discussed include: the fat-link computation on large GPU clusters for lattice QCD;a multi-node GPGPU implementation of non-linear anisotropic diffusion filter;a trip to Tahiti: approaching a 5 TFlop SGEMM using 3 AMD GPUs;ALU architecture with dynamic precision support;FPGA-based reconfigurable computing for pricing multi-asset barrier options;energy analysis of parallel scientific kernels on multiple GPUs;on improving the performance of multi-threaded CUDA applications with concurrent kernel execution by kernel reordering;GPU acceleration of pyrosequencing noise removal;for three easy payments: scoring peptides with portable performance using specmaster;FPGA-accelerated isotope pattern calculator for use in simulated mass spectrometry peptide and protein chemistry;and parallelizing principal component analysis for robust facial recognition using CUDA.

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Porting optimized GPU kernels to a multi-core CPU: Computational quantum chemistry application example

Porting optimized GPU kernels to a multi-core CPU: Computati...

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2011 symposium on application accelerators in high-performance computing, saahpc 2011

作者： Ye, Dong Titov, Alexey Kindratenko, Volodymyr Ufimtsev, Ivan Martinez, Todd National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Urbana IL United States Department of Chemistry Stanford University Stanford CA United States

ISBN: (纸本)9780769544489

We investigate techniques for optimizing a multicore CPU code backported from a highly optimized GPU kernel. We show that common sub-expression elimination and loop unrolling optimization techniques improve code performance on the GPU, but not on the CPU. On the other hand, register reuse and loop merging are effective on the CPU and in combination they improve performance of the ported code by 16%. © 2011 IEEE.

关键词： Graphics processing unit

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ScalaPipe: A Streaming application Generator

ScalaPipe: A Streaming Application Generator

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symposium on application accelerators in high performance computing (saahpc)

作者： Wingbermuehle, Joseph G. Chamberlain, Roger D. Cytron, Ron K. Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA

ISBN: (纸本)9780769548388

ScalaPipe is a streaming application generator for heterogeneous platforms. By using a collection of domain-specific languages (DSLs) embedded in the Scala programming language, ScalaPipe allows creation of streaming applications that can run on a variety of hardware, including traditional processors, graphics processors, and field-programmable gate arrays (FPGAs). Its application DSL allows specification of the application topology and resource mapping. Its block DSL allows the authoring of implementations for processing kernels, or blocks, which are used in the streaming application. ScalaPipe makes it easy to generate, modify, and instrument large, complex topologies and resource mappings while also exposing optimization opportunities.

关键词： application generators Streaming PROCESSOR Computer hardware Specifications

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application of Graphics Processing Units (GPUs) to the study of non-linear dynamics of the exciton bose-einstein condensate in a semiconductor quantumwell

Application of Graphics Processing Units (GPUs) to the study...

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2011 symposium on application accelerators in high-performance computing, saahpc 2011

作者： Gothandaraman, Akila Sadatian, Seyedhamidreza Faryniarz, Michal Berman, Oleg L. Kolmakov, German V. Center for Simulation and Modeling Department of Chemistry University of Pittsburgh Pittsburgh PA 15260 United States Department of Physics New York City College of Technology CUNY New York NY 11201 United States

ISBN: (纸本)9780769544489

In this paper, we explore the use of Graphics Processing Units (GPUs) to solve numerically the nonlinear Gross-Pitaevskii equation with an external potential. Our implementation uses NVIDIA's Compute Unified Device Architecture (CUDA) programming paradigm and demonstrates a speedup of 190× on an NVIDIA Tesla C2050 (Fermi) GPU compared to an optimized software implementation on a single-core of an Intel Xeon 5500-series processor. We apply the developed technique to the study of Bose-Einstein condensation (BEC) of excitons in semiconductor nanostructures. The technique is also applicable to the studies of atomic condensates, quantized vortices in quantum fluids, propagation of light pulses in optical waveguides, and ocean wave dynamics. © 2011 IEEE.

关键词： Graphics processing unit

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Porting Optimized GPU Kernels to a Multi-core CPU: Computational Quantum Chemistry application Example

Porting Optimized GPU Kernels to a Multi-core CPU: Computati...

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symposium on application accelerators in high-performance computing (saahpc)

作者： Dong Ye Alexey Titov Volodymyr Kindratenko Ivan Ufimtsev Todd Martinez National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Urbana IL USA Department of Chemistry Stanford University Stanford CA USA

We investigate techniques for optimizing a multi-core CPU code back ported from a highly optimized GPU kernel. We show that common sub-expression elimination and loop unrolling optimization techniques improve code performance on the GPU, but not on the CPU. On the other hand, register reuse and loop merging are effective on the CPU and in combination they improve performance of the ported code by 16%.

关键词： Graphics processing unit Kernel Optimization Instruction sets Registers Central Processing Unit Chemistry

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application of Graphics Processing Units (GPUs) to the Study of Non-linear Dynamics of the Exciton Bose-Einstein Condensate in a Semiconductor Quantum Well

Application of Graphics Processing Units (GPUs) to the Study...

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symposium on application accelerators in high-performance computing (saahpc)

作者： Akila Gothandaraman Seyedhamidreza Sadatian Michal Faryniarz Oleg L. Berman German V. Kolmakov Center for Simulation and Modeling & Department of Chemistry University of Pittsburgh Pittsburgh Pennsylvania Department of Physics CUNY New York

In this paper, we explore the use of Graphics Processing Units (GPUs) to solve numerically the nonlinear Gross-Pitaevskii equation with an external potential. Our implementation uses NVIDIA's Compute Unified Device Architecture (CUDA) programming paradigm and demonstrates a speedup of 190x on an NVIDIA Tesla C2050 (Fermi) GPU compared to an optimized software implementation on a single-core of an Intel Xeon 5500-series processor. We apply the developed technique to the study of Bose-Einstein condensation (BEC) of excitons in semiconductor nanostructures. The technique is also applicable to the studies of atomic condensates, quantized vortices in quantum fluids, propagation of light pulses in optical wave guides, and ocean wave dynamics.

关键词： Graphics processing unit Excitons Mathematical model Equations Kernel Computational modeling Numerical models

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An application of high performance computing to Improve Linear Acoustic Simulation 14

An Application of High Performance Computing to Improve Line...

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14th Communications and Networking symposium (CNS 2011) / Spring Simulation Multiconference (SpringSim '11)

作者： Butt, Fouad Abhari, Abdolreza Tavakkoli, Jahan Ryerson Univ Dept Comp Sci Toronto ON Canada Ryerson Univ Dept Phys Toronto ON Canada

ISBN: (纸本)9781617828379

A model describing the acoustic field resulting from an acoustic source vibrating in a rigid planar baffle is found to be computationally intensive if the field values are computed sequentially. The temporal complexity of the model is firstly due to the large number of computations required to integrate over the surface area of an arbitrarily-shaped source and secondly, due to the volume of the acoustic field itself. Thus, the model is assessed and it's workload characterization derives directly from the data-level parallelism inherent in the computation of the acoustic field. Two high performance computing approaches are developed and lead to improvements in both the precision and efficiency of the model with computation speedups that are beyond theoretical expectations. A further reduction in temporal complexity is introduced as a result of the axial-symmetric properties of the acoustic fields. The result is a particularly useful tool for high performance simulation of 3-dimensional ultrasound fields generated by realistic sources in various fluid media.

关键词： Acoustic fields

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Checkpoint/Restart and Beyond: Resilient high performance computing with FPGAs

Checkpoint/Restart and Beyond: Resilient High Performance Co...

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IEEE 19th Annual International symposium on Field-Programmable Custom computing Machines (FCCM)

作者： Schmidt, Andrew G. Huang, Bin Sass, Ron French, Matthew Univ N Carolina Reconfigurable Comp Syst Lab Charlotte NC 28223 USA Univ Southern Calif Informat Sci Inst Los Angeles CA 90089 USA

ISBN: (纸本)9780769543017

As FPGA resources continue to increase, FPGAs present attractive features to the high performance computing community. These include the power-efficient computation and application-specific acceleration benefits, as well as tighter integration between compute and I/O resources. This paper considers the ability of an FPGA to address another, increasingly important, feature - resiliency. Specifically, a minimally-invasive monitoring infrastructure operating over a sideband network is presented. This includes a multi-chip protocol, IP cores that implement the protocol, and a tool to instrument existing hardware accelerator FPGA designs. To demonstrate the functionality, the system has been implemented on a cluster of FPGA devices running off-the-shelf MPI and Linux. We demonstrate the ability to do integrated software and hardware accelerator checkpointing with restart under a variety of injected faults.

关键词： Amplitude modulation Checkpoint Restart Context FPGA FPGA device Field programmable gate arrays Hardware high performance computing I/O resource IP core IP networks Linux Linux Monitoring Reconfigurable computing Registers Resiliency Software application program interfaces application specific acceleration benefit checkpointing field programmable gate arrays hardware accelerator FPGA design hardware accelerator checkpointing integrated software integrated software message passing minimally-invasive monitoring infrastructure multichip protocol off-the-shelf MPI parallel machines power aware computing power efficient computation resilient high performance computing sideband network

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A Framework for high Level Synthesis of Transcendental Functions

A Framework for High Level Synthesis of Transcendental Funct...

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International symposium on VLSI Design, Automation and Test (VLSI-DAT)

作者： Sinha, Sharad Srikanthan, Thambipillai Nanyang Technol Univ Ctr High Performance Embedded Syst Singapore 637553 Singapore

ISBN: (纸本)9781424484997

high level synthesis using C/C++ code of applications is rapidly gaining ground. However, support for calculations is restricted to elementary algebraic operations of addition, multiplication, subtraction and division. Support for transcendental functions is generally unavailable and is inefficient where available. Transcendental functions are an important part of high performance computing. A framework to support their high level synthesis is presented here. The framework encompasses parallelism extraction, bounds, bit-width and precision analysis, and use of efficient low level implementations for high level synthesis. A method to account for latency and data sampling time due to drop-in low level modules is also demonstrated. high level synthesis of a computational kernel from GPS application involving transcendental functions is demonstrated.

关键词： Algorithm design and analysis C/C++ code Equations Field programmable gate arrays GPS application Hardware high level synthesis Mathematical model Registers computational kernel data sampling time drop-in low level module elementary algebraic operation high level synthesis high level synthesis high performance computing latency parallelism extraction precision analysis transcendental function

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