high performance computing on graphics processing units: hgpu.org

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Evaluating performance and portability of OpenCL programs

Kazuhiko Komatsu, Katsuto Sato, Yusuke Arai, Kentaro Koyama, Hiroyuki Takizawa, Hiroaki Kobayashi

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Performance, PTX, Tesla C1060

October 12, 2011 by hgpu

Real-Time Rigid Body Interactions

Fredrik Fossum

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, Games, OpenCL, OpenGL, Package, Thesis

October 11, 2011 by hgpu

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Marwa Elteir, Heshan Lin, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, OpenCL, Optimization, Performance, Programming techniques

October 11, 2011 by hgpu

Performance and Power Analysis of ATI GPU: A Statistical Approach

Ying Zhang, Yue Hu, Bin Li, Lu Peng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Energy-efficient computing, OpenCL, Performance

October 11, 2011 by hgpu

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Mayank Daga, Ashwin M. Aji, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 5450, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

October 11, 2011 by hgpu

Benchmarks Based on Anti-Parallel Patterns for the Evaluation of GPUs

Jan G. Cornelis, Jan Lemeire

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Tags: ATI, ATI Radeon HD 5850, Benchmarking, Computer science, nVidia, nVidia GeForce GTX 280, OpenCL

October 10, 2011 by hgpu

Streaming-Oriented Parallelization of Domain-Independent Irregular Kernels

Jacobo Lobeiras, Margarita Amor, Manuel Arenaz, Basilio B. Fraguela

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Brook, Computer science, OpenMP, Performance, Presentation

October 10, 2011 by hgpu

Evaluation of GPU Architectures Using Spiking Neural Networks

Vivek K. Pallipuram, Mohammad A. Bhuiyan, Melissa C. Smith

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Tags: ATI, ATI Radeon HD 5870, Computer science, Neural networks, nVidia, OpenCL, Optimization, Performance, Presentation, Tesla C2050

October 10, 2011 by hgpu

Towards an Effective Unified Programming Model for Many-Cores

Ana Lucia Varbanescu, Pieter Hijma, Rob V. van Nieuwpoort, Henri E. Bal

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Tags: ATI, Cell processor, Computer science, nVidia, OpenCL, Optimization, Programming techniques

October 10, 2011 by hgpu

Run-time Reconfigurable Multiprocessors

Madhura Purnaprajna

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Tags: ATI, Computer science, FPGA, Hardware Architecture, nVidia, Performance, Thesis

October 7, 2011 by hgpu

Architecture-Aware Optimization on a 1600-core Graphics Processor

Mayank Daga, Thomas R.W. Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Cluster computing, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Tesla C2050

October 4, 2011 by hgpu

Finite element assembly strategies on multi-and many-core architectures

G. R. Markall, A. Slemmer, D. A .Ham, P. H. J. Kelly, C. D. Cantwell, S. J. Sherwin

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Tags: Algorithms, ATI, ATI Radeon HD 5870, CUDA, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Spectral elements

October 4, 2011 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

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high performance computing on graphics processing units: hgpu.org

Evaluating performance and portability of OpenCL programs

Real-Time Rigid Body Interactions

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Performance and Power Analysis of ATI GPU: A Statistical Approach

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Benchmarks Based on Anti-Parallel Patterns for the Evaluation of GPUs

Streaming-Oriented Parallelization of Domain-Independent Irregular Kernels

Evaluation of GPU Architectures Using Spiking Neural Networks

Towards an Effective Unified Programming Model for Many-Cores

Run-time Reconfigurable Multiprocessors

Architecture-Aware Optimization on a 1600-core Graphics Processor

Finite element assembly strategies on multi-and many-core architectures

Recent source codes

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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