high performance computing on graphics processing units: hgpu.org

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Simulation of earthquake sloshing loads in a nuclear reactor

J.L. Cercos-Pita, L.M. Gonzalez, A. Moreno, A. Guerrero, S. Salgado

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Tags: ATI, ATI Radeon HD 7970, Earth and Space Sciences, nVidia, nVidia GeForce GTX Titan, OpenCL

May 7, 2014 by hgpu

Scaling Performance of FFT Computation on an Industrial Integrated GPU Co-processor: Experiments with Algorithm Adaptation

Mohamed Amine Bergach, Serge Tissot, Michael Syska, Robert De Simone

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Tags: FFT, Gen, GPGPU, GPU, Haswell, IvyBridge, OpenCL

May 7, 2014 by Aminems

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Brian Vyhnalek

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Tags: Artificial intelligence, ATI, ATI Radeon HD 6450, Computer science, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, OpenCL, Particle swarm optimization, Thesis

May 7, 2014 by hgpu

Implementing an efficient method of check-pointing on CPU-GPU

Harsha Sutaone, Sharath Prasad, Sumanth Suraneni

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Tags: ATI, Computer science, Heterogeneous systems, OpenCL

May 6, 2014 by hgpu

Refresh Rate Modulation for Perceptually Optimized Computer Graphics

Jeffrey Smith, Thomas Booth, Reynold Bailey

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, OpenCL, OpenGL, Raytracing

May 3, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Thickness computation of trimmed B-Rep model using GPU ray tracing

Gregoire Lemasson, Jean-Claude Iehl, Florence Zara, Behzad Shariat, Vincent Baudet, Philippe Arthaud

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Raytracing

April 30, 2014 by hgpu

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Ethel Bardsley, Alastair F. Donaldson, John Wickerson

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Tags: Computer science, OpenCL, Programming techniques

April 30, 2014 by hgpu

Piko: A Design Framework for Programmable Graphics Pipelines

Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens

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Tags: 3D Graphics and Realism, Code generation, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, PTX, Rasterization, Raytracing, Rendering

April 29, 2014 by hgpu

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack Dongarra

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Tesla K40

April 27, 2014 by hgpu

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Michael Gowanlock, Henri Casanova, David Schanzenbach

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Tags: Computer science, Databases, nVidia, OpenCL, Tesla C2075

April 22, 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

Simulation of earthquake sloshing loads in a nuclear reactor

Scaling Performance of FFT Computation on an Industrial Integrated GPU Co-processor: Experiments with Algorithm Adaptation

Improving the Programmability of GPU Architectures

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Implementing an efficient method of check-pointing on CPU-GPU

Refresh Rate Modulation for Perceptually Optimized Computer Graphics

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Thickness computation of trimmed B-Rep model using GPU ray tracing

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Piko: A Design Framework for Programmable Graphics Pipelines

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

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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