high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

GPU Random Numbers via the Tiny Encryption Algorithm

Fahad Zafar, Marc Olano, Aaron Curtis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 9800 GT, Pseudo-random number generators

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Dense linear algebra solvers for multicore with GPU accelerators

Stanimire Tomov, Rajib Nath, Hatem Ltaief, Jack Dongarra

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Package

March 23, 2011 by hgpu

GPU Accelerators for Evolvable Cellular Automata

Ludek Zaloudek, Lukas Sekanina, Vaclav Simek

Tags: Cellular automata, Computer science, CUDA, Genetic programming, nVidia

March 23, 2011 by hgpu

Data Visualization and Mining using the GPU

Sudipto Guha

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Tags: Computer science, Data mining, Rendering, Review, Visualization

March 23, 2011 by hgpu

Efficient stream reduction on the GPU

David Roger, Ulf Assarsson, Nicolas Holzschuch

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Programming techniques

March 23, 2011 by hgpu

Bridging the GPGPU-FPGA efficiency gap

Christopher W. Fletcher, Ilia A. Lebedev, Narges B. Asadi, Daniel R. Burke, John Wawrzynek

Tags: Algorithms, Bayesian, Computer science, FPGA, Heterogeneous systems, nVidia, OpenCL

March 22, 2011 by hgpu

Improving accuracy for matrix multiplications on GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Performance

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Ophir Setter

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

Ophir Setter, Micha Sharir, Dan Halperin

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

Scott Grauer-Gray, Chandra Kambhamettu

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT

March 22, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

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

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Random Numbers via the Tiny Encryption Algorithm

Aspects of GPU for general purpose high performance computing

Dense linear algebra solvers for multicore with GPU accelerators

GPU Accelerators for Evolvable Cellular Automata

Data Visualization and Mining using the GPU

Efficient stream reduction on the GPU

Bridging the GPGPU-FPGA efficiency gap

Improving accuracy for matrix multiplications on GPUs

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

fastHOG – a real-time GPU implementation of HOG

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

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

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