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A method for speeding up beam-tracing simulation using thread-level parallelization

Marjan Sikora, Ivo Mateljan

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Tags: Acoustics, Algorithms, CAD, Computer science

April 26, 2013 by hgpu

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Congying Han, Tingting Feng, Guoping He, Tiande Guo

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Tags: Algorithms, Computer science, CUDA, nVidia

April 26, 2013 by hgpu

Design and Performance Analysis of Parallel Processing of SRTP Packets

Jan Wozniak

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Tags: Computer science, Intel, OpenCL, Security

April 26, 2013 by hgpu

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Anuj Varghese Prakash

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Tags: Biochemistry, Chemistry, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Thesis

April 26, 2013 by hgpu

High Performance Computing with GPUs

Nikita Vakulin, Riley Shaw, Timothy Livingston

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Tags: Computer science, CUDA, Differential equations, Finite element method, nVidia, Package

April 25, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

Reduce, Reuse, Recycle (R^3): a Design Methodology for Sparse Matrix Vector Multiplication on Reconfigurable Platforms

Kevin Townsend, Joseph Zambreno

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla M2090, Tesla S1070

April 23, 2013 by hgpu

Parallel Computing for Accelerated Texture Classification with Local Binary Pattern Descriptors using OpenCL

CYN Dwith, Rathna.G.N

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, OpenCL, Pattern recognition

April 23, 2013 by hgpu

Solving Wave Equations on Unstructured Geometries

Andreas Klockner, Timothy Warburton, Jan S. Hesthaven

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Tags: Computer science, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Python, Wave equation

April 23, 2013 by hgpu

GPU Scripting and Code Generation with PyCUDA

Andreas Klockner, Nicolas Pinto, Bryan Catanzaro, Yunsup Lee, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, PyOpenCL, Python

April 23, 2013 by hgpu

SW# – GPU enabled exact alignments on genome scale

Matija Korpar, Mile Sikic

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 570, nVidia GeForce GTX 690, Package, Sequence alignment, Smith-Waterman algorithm

April 23, 2013 by hgpu

GPU-based Implementation of 128-bit Secure Eta Pairing Over a Binary Field

Utsab Bose, Anup Kumar Bhattacharya, Abhijit Das

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 480, Security, Tesla C2050

April 22, 2013 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

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

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

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high performance computing on graphics processing units: hgpu.org

A method for speeding up beam-tracing simulation using thread-level parallelization

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Design and Performance Analysis of Parallel Processing of SRTP Packets

Accelerating Population Balance Model-based particulate process simulations via parallel computing

High Performance Computing with GPUs

Directive-based Approach to Heterogeneous Computing

Reduce, Reuse, Recycle (R^3): a Design Methodology for Sparse Matrix Vector Multiplication on Reconfigurable Platforms

Parallel Computing for Accelerated Texture Classification with Local Binary Pattern Descriptors using OpenCL

Solving Wave Equations on Unstructured Geometries

GPU Scripting and Code Generation with PyCUDA

SW# – GPU enabled exact alignments on genome scale

GPU-based Implementation of 128-bit Secure Eta Pairing Over a Binary Field

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

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

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

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

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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