high performance computing on graphics processing units: hgpu.org

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Ray Traced Rendering Using GPGPU Devices

Coby Soss

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Tags: ATI, ATI Mobility Radeon HD 5870, Computer science, OpenCL, Raytracing, Rendering, Thesis

September 11, 2014 by hgpu

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Shuai Che, Jiayuan Meng, Kevin Skadron

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Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

September 5, 2014 by hgpu

A uniform approach for programming distributed heterogeneous computing systems

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: AMD FirePro W9000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

September 4, 2014 by hgpu

Searching for a counterexample of Kurepa’s Conjecture

Vladica Andrejic, Milos Tatarevic

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Tags: AMD Radeon R9 280, ATI, Mathematics, Number Theory, OpenCL

September 3, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Determining the difficulty of accelerating problems on a GPU

Dale Tristram, Karen Bradshaw

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL

September 2, 2014 by hgpu

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

F. D. Witherden, B. C. Vermeire, P. E. Vincent

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Source codes

Tags: AMD FirePro W9100, ATI, CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Package, Tesla K40

September 2, 2014 by hgpu

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

D.William Albert, Dr.K.Fayaz, D.Veerabhadra Babu

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Tags: ATI, ATI Radeon HD 5850, Computer science, Data mining, Databases, Java, Machine learning, OpenCL

August 23, 2014 by hgpu

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures

Thomas R. W. Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Xeon Phi, nVidia, nVidia GeForce GTX 280, OpenCL, Performance, Tesla K20

August 15, 2014 by hgpu

Effect of GPU Communication-Hiding for SpMV Using OpenACC

Olav Aanes Fagerlund, Takeshi Kitayama, Gaku Hashimoto, Hiroshi Okuda

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, FEM, Finite element method, OpenACC, Sparse matrix

August 15, 2014 by hgpu

Numerical Computations with GPUs

Volodymyr Kindratenko

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Tags: Algorithms, ATI, Book, Computer science, CUDA, Differential equations, FFT, Linear Algebra, Mathematics, Numerical simulation, nVidia, OpenCL, Pseudo-random number generators, Software Engineering

August 13, 2014 by hgpu

Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures

A. Gorobets, F.X. Trias, R. Borrell, G. Oyarzun, A. Oliva

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Fluid dynamics, Intel Xeon Phi, MPI, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX Titan, OpenCL, OpenMP, Performance, Tesla C1060, Tesla C2050

August 10, 2014 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

Ray Traced Rendering Using GPGPU Devices

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

A uniform approach for programming distributed heterogeneous computing systems

Searching for a counterexample of Kurepa’s Conjecture

Performance Portability Study of Linear Algebra Kernels in OpenCL

Determining the difficulty of accelerating problems on a GPU

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures

Effect of GPU Communication-Hiding for SpMV Using OpenACC

Numerical Computations with GPUs

Direct Numerical Simulation of Turbulent Flows with Parallel Algorithms for Various Computing Architectures

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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