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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

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

Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm

Changsheng Huang, Baochang Shi, Zhaoli Guo, Zhenhua Chai

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, Package, Tesla C1060, Tesla K20

October 16, 2014 by hgpu

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

Karl Rupp, Josef Weinbub, Ansgar Jungel, Tibor Grasser

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Source codes

Tags: AMD FirePro W9000, AMD FirePro W9100, ATI, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, nVidia, OpenCL, Tesla C2050, Tesla K20

October 16, 2014 by hgpu

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Massimiliano Fatica, Everett Phillips

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Tags: CUDA, nVidia, nVidia Jetson TK1, SAR, Signal processing

October 14, 2014 by hgpu

A Complete and Efficient CUDA-Sharing Solution for HPC Clusters

Antonio J. Pena, Carlos Reano, Federico Silla, Rafael Mayo, Enrique S. Quintana-Orti, Jose Duato

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla K20, Virtualization

October 14, 2014 by hgpu

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Koji Nakano, Susumu Matsumae, Yasuaki Ito

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX Titan

October 14, 2014 by hgpu

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 780 Ti, SAT

October 14, 2014 by hgpu

Scalable approximate k-NN in multidimensional big data

Hisham Mohamed

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Tags: Algorithms, Computer science, CUDA, Data mining, Data Structures and Algorithms, Information Retrieval, Machine learning, MapReduce, MPI, Nearest neighbour, nVidia, nVidia Quadro NVS 5200 M, Thesis, Visualization

October 13, 2014 by hgpu

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

Shohei Ando, Fumihiko Ino, Toru Fujiwara, and Kenichi Hagihara

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Probability, Tesla K40

October 13, 2014 by hgpu

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

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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high performance computing on graphics processing units: hgpu.org

Programming

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

Parallel Programming and Compressed Material Data for an Eulerian Code

Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

A Complete and Efficient CUDA-Sharing Solution for HPC Clusters

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Scalable approximate k-NN in multidimensional big data

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

Recent source codes

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

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

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

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