high performance computing on graphics processing units: hgpu.org

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GooFit: A library for massively parallelising maximum-likelihood fits

R. Andreassen, B. T. Meadows, M. de Silva, M. D. Sokoloff, K. Tomko

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GT 650 M, Package, Probability, Tesla C2050, Tesla C2070

November 8, 2013 by hgpu

Moving Least-Squares Reconstruction of Large Models with GPUs

Bruce Merry, James Gain, Patrick Marais

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2070

November 8, 2013 by hgpu

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

Federico Ciccozzi

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

November 8, 2013 by hgpu

A Game Architecture Based on Multiple GPUs With Energy Management

Marcelo Zamith, Luis Valente, Mark Joselli, Jose Silva Junior, Esteban Clua, Bruno Feijo

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Tags: Computer science, Energy-efficient computing, Games, nVidia, nVidia GeForce GTX 480, Tesla K20

November 8, 2013 by hgpu

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Marcus Holm, Stefan Engblom, Anders Goude, Sverker Holmgren

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Tags: Computer science, CUDA, Fast multipole method, nVidia, Package, Performance, Tesla M2050

November 6, 2013 by hgpu

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Computer science, CUDA, Intel Phi, Intel Xeon Phi, Microscopy, nVidia, OpenMP, Performance, Task scheduling, Tesla K20

November 6, 2013 by hgpu

Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

Parallelizing Alternating Direction Implicit Solver on GPUs

Zhangping Wei, Byunghyun Jang, Yaoxin Zhang, Yafei Jia

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

November 6, 2013 by hgpu

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Waqas Tanveer

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Tags: Computer science, OpenGL, Rendering, Thesis

November 6, 2013 by hgpu

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Yu-Hang Tang, George Em Karniadakis

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Tags: Algorithms, Computational Physics, Computer science, CUDA, MPI, nVidia, Tesla K20

November 6, 2013 by hgpu

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Uri Verner, Avi Mendelson, Assaf Schuster

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Tags: Computer science, CUDA, nVidia, OpenCL, Performance, Task scheduling, Tesla C2050, Tesla K10

November 4, 2013 by hgpu

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

Thierry Coppey

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Tags: Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia GeForce GT 650 M, Package, RNA, Smith-Waterman algorithm

November 4, 2013 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

GooFit: A library for massively parallelising maximum-likelihood fits

Moving Least-Squares Reconstruction of Large Models with GPUs

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

A Game Architecture Based on Multiple GPUs With Energy Management

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

Computer Graphics: From Pixels to Programmable Graphics Hardware

Parallelizing Alternating Direction Implicit Solver on GPUs

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

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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