high performance computing on graphics processing units: hgpu.org

hgpu.org » Benchmarking

Task Superscalar: An Out-of-Order Task Pipeline

Yoav Etsion, Felipe Cabarcas, Alejandro Rico, Alex Ramirez, Rosa M. Badia, Eduard Ayguade, Jesus Labarta, Mateo Valero

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Tags: Benchmarking, Cell processor, Computer science, Performance, Programming techniques

September 11, 2011 by hgpu

TimeGraph: GPU scheduling for real-time multi-tasking environments

Shinpei Kato, Karthik Lakshmanan, Ragunathan Rajkumar, Yutaka Ishikawa

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Source codes

Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenGL, Operating systems, Package, Real-time graphics, Task scheduling

September 11, 2011 by hgpu

Software-based branch predication for AMD GPUs

Ryan Taylor, Xiaoming Li

Tags: ATI, Benchmarking, Computer science, Performance, Programming techniques

September 11, 2011 by hgpu

Enabling multiple accelerator acceleration for Java/OpenMP

Ronald Veldema, Thorsten Blass, Michael Philippsen

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Tags: Benchmarking, Computer science, CUDA, Java, nVidia, OpenCL, OpenMP, OpenMPI, Tesla M1060

September 9, 2011 by hgpu

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

Peter Thoman, Klaus Kofler, Heiko Studt, John Thomson, Thomas Fahringer

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Cell processor, Computer science, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 460, OpenCL, Optimization, Tesla C2050

September 8, 2011 by hgpu

Chameleon: Virtualizing idle acceleration cores of a heterogeneous multicore processor for caching and prefetching

Dong Hyuk Woo, Joshua B. Fryman, Allan D. Knies, Hsien-Hsin S. Lee

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Tags: Benchmarking, Computer science, Heterogeneous systems, Prefetch

September 7, 2011 by hgpu

Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators

Yunsup Lee, Rimas Avizienis, Alex Bishara, Richard Xia, Derek Lockhart, Christopher Batten, Krste Asanovic

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Tags: Benchmarking, Computer science, Hardware Architecture

September 7, 2011 by hgpu

Using Graphics Processing Units for Logic Simulation of Electronic Designs

Alper Sen, Baris Aksanli, Murat Bozkurt

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Electronic design automation, nVidia, nVidia Quadro FX 3800, Optimization

September 2, 2011 by hgpu

GPU Versus FPGA for High Productivity Computing

David H. Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285

September 2, 2011 by hgpu

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu

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Tags: Algorithms, Benchmarking, CAD, Computer science, CUDA, Nonlinear optimization, nVidia, nVidia GeForce GTX 285, Optimization, Probability

September 1, 2011 by hgpu

Bounding the effect of partition camping in GPU kernels

Ashwin M. Aji, Mayank Daga, Wu-chun Feng

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, Performance

August 23, 2011 by hgpu

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

J. A. Herdman, W. P. Gaudin, D. Turland, S. D. Hammond

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Tesla C1060

August 19, 2011 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

Task Superscalar: An Out-of-Order Task Pipeline

TimeGraph: GPU scheduling for real-time multi-tasking environments

Software-based branch predication for AMD GPUs

Enabling multiple accelerator acceleration for Java/OpenMP

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

Chameleon: Virtualizing idle acceleration cores of a heterogeneous multicore processor for caching and prefetching

Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators

Using Graphics Processing Units for Logic Simulation of Electronic Designs

GPU Versus FPGA for High Productivity Computing

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

Bounding the effect of partition camping in GPU kernels

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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