high performance computing on graphics processing units: hgpu.org

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Solving Discrete Logarithms in Smooth-Order Groups with CUDA

Ryan Henry, Ian Goldberg

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, PTX, Security, Tesla M2050

January 29, 2012 by hgpu

SMAA: Enhanced Subpixel Morphological Antialiasing

Jorge Jimenez, Jose I. Echevarria, Tiago Sousa, Diego Gutierrez

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Tags: Algorithms, DirectX, Image generation, Image processing, nVidia, nVidia GeForce GTX 470, Package

January 27, 2012 by hgpu

Bilateral Filtering with CUDA

Lasse Klojgaard Staal

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 460, Package

January 27, 2012 by hgpu

Accelerating incoherent dedispersion

Benjamin R. Barsdell, Matthew Bailes, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

January 27, 2012 by hgpu

GPU Nonlinear Fixed Points, with an application to GPU IFS Rendering

Orion Sky Lawlor

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Rendering

January 26, 2012 by hgpu

CUDA raytracing algorithm for visualizing discrete element model output

Anders Damsgaard Christensen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 4000, Package, Raytracing

January 26, 2012 by hgpu

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Jani Sainio

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 470, Package, Python, Tesla C2050

January 25, 2012 by hgpu

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Rick van der Zwet

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Package, Thesis

January 23, 2012 by hgpu

CUDA Based Polyphase Filter

Mark McCurry

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Tags: CUDA, DSP, nVidia, Package, Signal processing, Tesla C2050

January 23, 2012 by hgpu

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 by hgpu

Experiences in Teaching a Specialty Multicore Computing Course

Peter E. Strazdins

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Tags: Cloud, Computer science, CUDA, Education, nVidia, Package, Virtualization

January 20, 2012 by hgpu

Accelerated Large-Scale Multiple Sequence Alignment

Scott Lloyd, Quinn O. Snell

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Tags: Algorithms, Bioinformatics, Biology, FPGA, Package, Sequence alignment

January 19, 2012 by hgpu

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

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

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

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

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high performance computing on graphics processing units: hgpu.org

Applications

Solving Discrete Logarithms in Smooth-Order Groups with CUDA

SMAA: Enhanced Subpixel Morphological Antialiasing

Bilateral Filtering with CUDA

Accelerating incoherent dedispersion

GPU Nonlinear Fixed Points, with an application to GPU IFS Rendering

CUDA raytracing algorithm for visualizing discrete element model output

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

CUDA Based Polyphase Filter

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Accelerated Large-Scale Multiple Sequence Alignment

Recent source codes

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

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

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