high performance computing on graphics processing units: hgpu.org

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A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

Luke Mather, Elisabeth Oswald, Joe Bandenburg, Marcin Wojcik

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Tags: ATI, ATI Radeon HD 7970, Computational Complexity, Computer science, OpenCL, Security

May 30, 2013 by hgpu

Parallelization of Mesh Contraction and Fairing using OpenCL

Martin Madaras, Roman Durikovic

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Tags: ATI, ATI Radeon HD 6630 M, Computational Geometry, Computer science, OpenCL, Triangular meshes

May 29, 2013 by hgpu

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

Joshua Penton

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Tags: ATI, ATI Radeon HD 6750 M, Computer science, FFT, Java, OpenCL, Package, Performance, Programming techniques

May 28, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Quantifying the Energy Efficiency of FFT on Heterogeneous Platforms

Yash Ukidave, Amir Kavyan Ziabari, Perhaad Mistry, Gunar Schirner, David Kaeli

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Tags: ATI, ATI Radeon HD 7770, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing

May 25, 2013 by hgpu

Evaluating the Performance of Legacy Applications on Emerging Parallel Architectures

Simon John Pennycook

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Tags: Algorithms, ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, MPI, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GT, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C1060, Tesla C2050, Thesis

May 21, 2013 by hgpu

An Investigation of the Performance Portability of OpenCL

S.J. Pennycook, S.D. Hammond, S.A. Wright, J.A. Herdman, I. Miller, S.A. Jarvis

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Tags: ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, Fortran, MPI, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

May 21, 2013 by hgpu

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Manish Pandey, Himanshu Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 630 M, OpenCL

May 19, 2013 by hgpu

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Computer science, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Tesla C2050

May 11, 2013 by hgpu

libWater: Heterogeneous Distributed Computing Made Easy

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, OpenCL

May 9, 2013 by hgpu

Algorithms for Rapid Characterization and Optimization of Aperture and Reflector Antennas

Arthur Densmore

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Heterogeneous systems, nVidia, OpenCL, Signal processing, Tesla C2050, Thesis, Visualization

May 6, 2013 by hgpu

Simulation of Biological Tissue using Mass-Spring-Damper Models

Emil Eriksson

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Tags: ATI, ATI Radeon HD 7970, Biology, OpenCL, Surgical simulation, Thesis, Visualization

May 6, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

Parallelization of Mesh Contraction and Fairing using OpenCL

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Quantifying the Energy Efficiency of FFT on Heterogeneous Platforms

Evaluating the Performance of Legacy Applications on Emerging Parallel Architectures

An Investigation of the Performance Portability of OpenCL

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

libWater: Heterogeneous Distributed Computing Made Easy

Algorithms for Rapid Characterization and Optimization of Aperture and Reflector Antennas

Simulation of Biological Tissue using Mass-Spring-Damper Models

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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