high performance computing on graphics processing units: hgpu.org

Niels Drost, Jason Maassen, Maarten A.J. van Meersbergen, Henri E. Bal, F. Inti Pelupessy, Simon Portegies Zwart, Michael Kliphuis, Henk A. Dijkstra, Frank J. Seinstra

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Tags: Astrophysics, Cloud, Computer science, CUDA, Earth and Space Sciences, Heterogeneous systems, nVidia, Physics, Solar and Stellar Astrophysics, Tesla C2050

March 6, 2012 by hgpu

Ray Tracing Visualization Toolkit

Christiaan Gribble, Jeremy Fisher, Daniel Eby, Ed Quigley, Gideon Ludwig

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Tags: 3D Graphics and Realism, Algorithms, Computer science, OpenCL, OpenGL, Raytracing, Rendering, Visualization

March 2, 2012 by hgpu

Efficient Performance Evaluation of Memory Hierarchy for Highly Multithreaded Graphics Processors

Sara S. Baghsorkhi, Isaac Gelado, Matthieu Delahaye, Wen-mei W. Hwu

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Tags: Computer science, CUDA, nVidia, Performance, Sparse matrix, Tesla C2050

March 2, 2012 by hgpu

Parallel Hashing, Compression and Encryption with OpenCL under OS X

Vasileios Xouris

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Tags: Algorithms, Compression, Computer science, Hashing, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Security, Thesis

March 2, 2012 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

Scalable framework for mapping streaming applications onto multi-GPU systems

Compiler Assisted Runtime Adaptation

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

Efficient Relational Algebra Algorithms and Data Structures for GPU

PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

KUDA: GPU Accelerated Split Race Checker

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Ray Tracing Visualization Toolkit

Efficient Performance Evaluation of Memory Hierarchy for Highly Multithreaded Graphics Processors

Parallel Hashing, Compression and Encryption with OpenCL under OS X

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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