high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Xavier Lacoste, Mathieu Faverge, Pierre Ramet, Samuel Thibault, George Bosilca

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, nVidia, Sparse direct solvers, Tesla M2070

January 30, 2014 by hgpu

Hybrid algorithms for efficient Cholesky decomposition and matrix inverse using multicore CPUs with GPU accelerators

Gary Macindoe

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, Machine learning, Matrix decomposition, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Tesla S1070, Thesis

January 29, 2014 by hgpu

Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems

Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Task scheduling

January 29, 2014 by hgpu

On the Programmability and Performance of Heterogeneous Platforms

Konstantinos Krommydas, Thomas R.W. Scogland, Wu-chun Feng

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, N-body simulation, nVidia, OpenACC, Optimization, Tesla K20

January 29, 2014 by hgpu

A Performance Criteria for parallel Computation on basis of block size using CUDA Architecture

Ashis Kumar Dash

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Matrix multiplication, nVidia, nVidia Quadro FX 3700

January 29, 2014 by hgpu

Scheduling on Manycore and Heterogeneous Graphics Processors

Stanley Tzeng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Thesis

January 28, 2014 by hgpu

gem5-gpu: A Heterogeneous CPU-GPU Simulator

Jason Power, Joel Hestness, Marc S. Orr, Mark D. Hill, David A. Wood

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, nVidia GeForce GTX 580

January 26, 2014 by hgpu

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

Konstantinos Krommydas, Muhsen Owaida, Christos D. Antonopoulos, Nikolaos Bellas, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, FPGA, Heterogeneous systems, Intel Xeon Phi, OpenCL

January 23, 2014 by hgpu

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

Pei Li, Elisabeth Brunet, Raymond Namyst

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenCL

January 14, 2014 by hgpu

Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

Yi Peng, Li Chen, Jun-Hai Yong

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 555 M, OpenCL, Visualization

January 12, 2014 by hgpu

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Fortran, Heterogeneous systems, MPI, nVidia, Tesla K20

January 12, 2014 by hgpu

Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms

Alejandro Lopez-Ortiz, Alejandro Salinger, Robert Suderman

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Tags: Algorithms, ATI, ATI Radeon HD 5970, ATI Radeon HD 6530, Computer science, Heterogeneous systems, Hybrid computing, OpenCL

January 11, 2014 by hgpu

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

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Hybrid algorithms for efficient Cholesky decomposition and matrix inverse using multicore CPUs with GPU accelerators

Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems

On the Programmability and Performance of Heterogeneous Platforms

A Performance Criteria for parallel Computation on basis of block size using CUDA Architecture

Scheduling on Manycore and Heterogeneous Graphics Processors

gem5-gpu: A Heterogeneous CPU-GPU Simulator

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms

Recent source codes

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

SW#SYCL

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

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Most viewed papers (last 30 days)