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Massively parallel read mapping on GPUs with the q-group index and PEANUT

Johannes Koster, Sven Rahmann

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Tags: Algorithms, Bioinformatics, Biology, nVidia, nVidia GeForce GTX 780, OpenCL

October 20, 2014 by hgpu

Heterogeneous computing with an algorithmic skeleton framework

Fabio Miguel Cardoso Soldado

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Programming techniques, Thesis

October 20, 2014 by hgpu

Fast-Fourier-Transform-Based Electrical Noise Measurements

Alexander Schade

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Tags: Data acquisition, nVidia, nVidia GeForce GTX 680, OpenCL, Signal processing, Thesis

October 20, 2014 by hgpu

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

M. P. Wachowiak, B. B. Sarlo, A. E. Lambe Foster

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Tags: Computational Physics, CUDA, Heterogeneous systems, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 20, 2014 by hgpu

A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models

Kato Mivule, Benjamin Harvey, Crystal Cobb, Hoda El Sayed

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Tags: Computer science, CUDA, MapReduce, nVidia, Overview, Pthreads, Review, Tesla K20

October 18, 2014 by hgpu

StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing

Amrit Panda

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Tags: Computer science, CUDA, nVidia, Tesla K20, Thesis, Virtualization

October 18, 2014 by hgpu

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Ilker Gurcan

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Tags: CUDA, Image processing, nVidia, Security, Tesla K40, Thesis, Video tracking

October 18, 2014 by hgpu

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Evan E. Schneider, Brant E. Robertson

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Tags: Astrophysics, Computational Physics, CUDA, Fluid dynamics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla K20

October 18, 2014 by hgpu

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Xiangang Li, Xihong Wu

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Tags: Computer science, Evolutionary Computations, Neural and Evolutionary Computing, Neural networks, Speech recognition

October 18, 2014 by hgpu

The Distribution of OpenCL Kernel Execution Across Multiple Devices

Steven Gurfinkel

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Tags: Computer science, nVidia, OpenCL, Tesla M2090, Thesis

October 16, 2014 by hgpu

OpenCL Implementation of Montgomery Multiplication on FPGA

Mehmet Ufuk Buyuksahin

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Tags: Algorithms, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 435 M, nVidia GeForce GT 630, nVidia GeForce GTX 780, OpenCL, Security, Thesis

October 16, 2014 by hgpu

Parallel Programming and Compressed Material Data for an Eulerian Code

Matthew Thomas Calef, John Greaton Wohlbier

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Tags: CUDA, nVidia, OpenCL, Physics, Tesla M2090

October 16, 2014 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Applications

Massively parallel read mapping on GPUs with the q-group index and PEANUT

Heterogeneous computing with an algorithmic skeleton framework

Fast-Fourier-Transform-Based Electrical Noise Measurements

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models

StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

The Distribution of OpenCL Kernel Execution Across Multiple Devices

OpenCL Implementation of Montgomery Multiplication on FPGA

Parallel Programming and Compressed Material Data for an Eulerian Code

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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