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Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator

Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein

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Tags: Benchmarking, Computed tomography, Computer science, CT, Image reconstruction, Intel Xeon Phi, Medicine, Performance

January 17, 2014 by hgpu

Power Profiling of GeMTC Many Task Computing

Sean Wallace, Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, Energy-efficient computing, Intel Xeon Phi, nVidia

January 17, 2014 by hgpu

Prefiltered Single Scattering

Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Games, nVidia, nVidia GeForce GTX Titan, OpenGL

January 17, 2014 by hgpu

MRPB: Memory Request Prioritization for Massively Parallel Processors

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Tesla C2050

January 16, 2014 by hgpu

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

Erich Elsen, Vishal Vaidyanathan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 670, Package

January 16, 2014 by hgpu

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

Diming Zhang, Yuanjiang Li

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Tags: Computer science, Education, OpenCL

January 16, 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

A Pervasive Parallel Framework for Visualization

Kenneth Moreland

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050, Visualization

January 14, 2014 by hgpu

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Vedran Novakovic

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla C2070, Tesla K20, Tesla S2050

January 14, 2014 by hgpu

Towards Portable Performance for Explicit Hydrodynamics Codes

A. C. Mallinson, D. A. Beckingsale, W. P. Gaudin, J. A. Herdman, S. A. Jarvis

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Tags: APU, ATI, ATI FirePro V7800, Computer science, Fluid dynamics, MPI, nVidia, OpenCL, Package, Performance, Tesla K20

January 14, 2014 by hgpu

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Seung Heon Kang, Seung-Jae Lee, In Kyu Park

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Tags: Algorithms, ARM, Computer science, Computer vision, OpenCL, OpenGL, SIFT

January 14, 2014 by hgpu

k+-buffer: Fragment Synchronized k-buffer

Andreas A. Vasilakis, Ioannis Fudos

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenGL, Package, Real-time graphics, Rendering, Visualization

January 14, 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

Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator

Power Profiling of GeMTC Many Task Computing

Prefiltered Single Scattering

MRPB: Memory Request Prioritization for Massively Parallel Processors

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

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

A Pervasive Parallel Framework for Visualization

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Towards Portable Performance for Explicit Hydrodynamics Codes

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

k+-buffer: Fragment Synchronized k-buffer

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

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