high performance computing on graphics processing units: hgpu.org

Programming

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Considering GPGPU for HPC Centers: Is It Worth the Effort?

Hans Hacker, Carsten Trinitis, Josef Weidendorfer, Matthias Brehm

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Tags: Computer science, CUDA, nVidia, Performance, Review, Tesla C1060

August 25, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Ultrasound

August 25, 2011 by hgpu

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr Kindratenko

Tags: Bioinformatics, Biology, Cell processor, CUDA, Molecular dynamics, nVidia

August 25, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

GPU-acceleration for Moving Particle Semi-implicit Method

Chiemi Hori, Hitoshi Gotoh, Hiroyuki Ikari, Abbas Khayyer

Tags: CUDA, Fluid dynamics, nVidia, Poisson equation

August 25, 2011 by hgpu

Parallel computation of spherical parameterizations for mesh analysis

Theodoros Athanasiadis, Ioannis Fudos

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Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package

August 24, 2011 by hgpu

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Allen Leung, Nicolas Vasilache, Benoit Meister, Muthu Baskaran, David Wohlford, Cedric Bastoul, Richard Lethin

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Tags: Algorithms, Code generation, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 285, Programming Languages

August 24, 2011 by hgpu

CnC-CUDA: declarative programming for GPUs

Max Grossman, Alina Simion Sbirlea, Zoran Budimlic, Vivek Sarkar

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Performance

August 24, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

An open framework for rapid prototyping of signal processing applications

Maxime Pelcat, Jonathan Piat, Matthieu Wipliez, Slaheddine Aridhi, and Jean-Francois Nezan

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Tags: Algorithms, Graph theory, Signal processing

August 24, 2011 by hgpu

Precise dynamic analysis for slack elasticity: adding buffering without adding bugs

Sarvani Vakkalanka, Anh Vo, Ganesh Gopalakrishnan, Robert M. Kirby

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Tags: Algorithms, Computer science, MPI, Network communications

August 24, 2011 by hgpu

JCudaMP: OpenMP/Java on CUDA

Georg Dotzler, Ronald Veldema, Michael Klemm

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Tags: Code generation, Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 280, OpenMP, Programming Languages, Programming techniques

August 23, 2011 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

Considering GPGPU for HPC Centers: Is It Worth the Effort?

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

An efficient GPU-based time domain solver for the acoustic wave equation

GPU-acceleration for Moving Particle Semi-implicit Method

Parallel computation of spherical parameterizations for mesh analysis

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

CnC-CUDA: declarative programming for GPUs

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

An open framework for rapid prototyping of signal processing applications

Precise dynamic analysis for slack elasticity: adding buffering without adding bugs

JCudaMP: OpenMP/Java on CUDA

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Most viewed papers (last 30 days)