high performance computing on graphics processing units: hgpu.org

Programming

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On the performance of GPU public-key cryptography

Samuel Neves, Filipe Araujo

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

October 23, 2011 by hgpu

Computational Biology and Applied Bioinformatics

Heitor Silverio Lopes, Leonardo Magalhaes Cruz

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Tags: Bioinformatics, Biology, Book, Computational biology, CUDA, nVidia, Review, Sequence alignment, Spectrometry

October 23, 2011 by hgpu

STT-RAM for Shared Memory in GPUs

Prateeksha Satyamoorthy

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 285, OpenCL, Thesis

October 23, 2011 by hgpu

Dataflow-based Design and Implementation of Image Processing Applications

Chung-Ching Shen, William Plishker, Shuvra S. Bhattacharyya

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 285, Signal processing

October 23, 2011 by hgpu

Accelerating Component-Based Dataflow Middleware with Adaptivity and Heterogeneity

Timothy D. R. Hartley

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5600, Optimization, Performance, Thesis

October 22, 2011 by hgpu

Implementing a Preconditioned Iterative Linear Solver Using Massively Parallel Graphics Processing Units

Amirhassan Asgari Kamiabad

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Power Systems Simulation, Thesis

October 22, 2011 by hgpu

GPU performance prediction using parametrized models

Andreas Resios

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, Optimization, Performance, Thesis

October 22, 2011 by hgpu

CUDA Application Design and Development

Rob Farber

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Tags: Book, Computer science, CUDA, nVidia, Review, Software Engineering

October 22, 2011 by hgpu

Accelerating molecular docking and binding site mapping using FPGAs and GPUs

Bharat Sukhwani

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Tags: Algorithms, Biology, Biomechanics, CUDA, FPGA, Molecular modeling, nVidia, Tesla C1060, Thesis

October 22, 2011 by hgpu

Hardware Transactional Memory for GPU Architectures

Wilson W. L. Fung, Inderpreet Singh, Andrew Brownsword, Tor M. Aamodt

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Tags: Bloom filter, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, Programming techniques

October 22, 2011 by hgpu

Low-Impact Profiling of Streaming, Heterogeneous Applications

Joseph Marion Lancaster

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Tags: Algorithms, Computer science, Heterogeneous systems, Optimization, Performance, Thesis

October 22, 2011 by hgpu

Parallel Compression Checkpointing for Socket-Level Heterogeneous Systems

Yongpeng Liu, Hong Zhu, Yongyan Liu, Feng Wang, Baohua Fan

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Compression, Computer science, Heterogeneous systems, OpenCL

October 22, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

On the performance of GPU public-key cryptography

Computational Biology and Applied Bioinformatics

STT-RAM for Shared Memory in GPUs

Dataflow-based Design and Implementation of Image Processing Applications

Accelerating Component-Based Dataflow Middleware with Adaptivity and Heterogeneity

Implementing a Preconditioned Iterative Linear Solver Using Massively Parallel Graphics Processing Units

GPU performance prediction using parametrized models

CUDA Application Design and Development

Accelerating molecular docking and binding site mapping using FPGAs and GPUs

Hardware Transactional Memory for GPU Architectures

Low-Impact Profiling of Streaming, Heterogeneous Applications

Parallel Compression Checkpointing for Socket-Level Heterogeneous Systems

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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