high performance computing on graphics processing units: hgpu.org

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A Road Marking Extraction Method Using GPGPU

Dajun Ding, Jongsu Yoo, Jekyo Jung, Kwon Soon

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 760, OpenCL, Vehicular traffic

July 4, 2014 by hgpu

Parallelizing the cellular potts model on GPU and multi-core CPU: An OpenCL cross-platform study

Chao Yu, Bo Yang

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Tags: ATI, ATI Radeon HD 7870, Biology, Computer science, OpenCL

July 1, 2014 by hgpu

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Matthias Baer

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Tags: ATI, ATI Radeon HD 7750, Computer science, Heterogeneous systems, OpenCL, Thesis

July 1, 2014 by hgpu

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5870, ATI Radeon HD 7950, Computational Complexity, Computer science, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

July 1, 2014 by hgpu

Speedup of Micromagnetic Simulations with C++ AMP On Graphics Processing Units

Ru Zhu

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Tags: ATI, ATI Radeon HD 7970, Computer science, Electrodynamics, FFT, OpenCL

July 1, 2014 by hgpu

On the Characterization of OpenCL Dwarfs on Fixed and Reconfigurable Platforms

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

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

June 26, 2014 by hgpu

Effect And Analysis of Elastic Fidelity Computing On GPUs

Chetan Arvind Patil, Georgios Tziantzioulis, Nikos Hardavellas

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 480, OpenCL

June 26, 2014 by hgpu

GPU accelerated Hybrid Tree Algorithm for Collision-less N-body Simulations

Tsuyoshi Watanabe, Naohito Nakasato

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Tags: Algorithms, Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Tesla M2090

June 25, 2014 by hgpu

AES encryption on modern consumer architectures

Lupescu Grigore

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Tags: AES, AMD Radeon R7 250, ATI, Computer science, cpu, GPU, OpenCL, Security, Thesis

June 24, 2014 by glupescu

Using JavaScript and WebCL for Numerical Computations: A Comparative Study of Native and Web Technologies

Faiz Khan, Vincent Foley-Bourgon, Sujay Kathrotia, Erick Lavoie, Laurie Hendren

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, Java, nVidia, OpenCL, Package, Tesla C2050

June 23, 2014 by hgpu

Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment

Szymon Bultrowicz, Pawel Czarnul, Pawel Rosciszewski

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Tags: Computer science, Heterogeneous systems, OpenCL, Visualization

June 23, 2014 by hgpu

Parallel track reconstruction in CMS using the cellular automaton approach

D. Funke, T. Hauth, V. Innocente, G. Quast, P. Sanders, D. Schieferdecker

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Tags: Cellular automata, Data acquisition, nVidia, nVidia GeForce GTX 660, OpenCL, Physics

June 19, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

A Road Marking Extraction Method Using GPGPU

Parallelizing the cellular potts model on GPU and multi-core CPU: An OpenCL cross-platform study

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Speedup of Micromagnetic Simulations with C++ AMP On Graphics Processing Units

On the Characterization of OpenCL Dwarfs on Fixed and Reconfigurable Platforms

Effect And Analysis of Elastic Fidelity Computing On GPUs

GPU accelerated Hybrid Tree Algorithm for Collision-less N-body Simulations

AES encryption on modern consumer architectures

Using JavaScript and WebCL for Numerical Computations: A Comparative Study of Native and Web Technologies

Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment

Parallel track reconstruction in CMS using the cellular automaton approach

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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