high performance computing on graphics processing units: hgpu.org

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Multi-dimensional Functional Principal Component Analysis

Lu-Hung Chen, Ci-Ren Jiang

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Tags: FFT, nVidia, nVidia GeForce GTX 980, nVidia Quadro K600, OpenACC, Statistics

October 16, 2015 by hgpu

Accelerating the D3Q19 Lattice Boltzmann Model with OpenACC and MPI

Alessandro Gabbana

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Tags: Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenACC, Tesla K80, Thesis

October 11, 2015 by hgpu

Fast-Coding Robust Motion Estimation Model in a GPU

Carlos Garcia, Guillermo Botella, Francisco de Sande, Manuel Prieto-Matias

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Tags: Image processing, nVidia, OpenACC, OpenMP, Tesla K20

July 27, 2015 by hgpu

Parallel Programming in Actor-Based Applications via OpenCL

Paul Harvey, Kristian Hentschel, Joseph Sventek

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Tags: AMD Radeon R9 290X, ATI, Computer science, OpenACC, OpenCL, Package, Performance

July 20, 2015 by hgpu

Autotuning OpenACC Work Distribution via Direct Search

Calvin Montgomery, Jeffrey L. Overbey, Xuechao Li

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Tags: Computer science, MPI, nVidia, OpenACC, Package, Performance, Python, Tesla K20

July 8, 2015 by hgpu

Generating Efficient Tensor Contractions for GPUs

Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Boyana Norris

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Tags: Algorithms, Chemistry, Computer science, CUDA, Fluid dynamics, Machine learning, nVidia, OpenACC, Optimization

June 22, 2015 by hgpu

Autotuning Tensor Contraction Computations on GPUs

Axel Rivera, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Thomas Nelson, Boyana Norris

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Tags: Benchmarking, Code generation, Computer science, CUDA, Matrix multiplication, nVidia, OpenACC, Tesla C2050, Tesla K20

June 19, 2015 by hgpu

Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA

Adrian Castello, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena, Pavan Balaji

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050, Tesla K40, Virtualization

June 17, 2015 by hgpu

Performance of a code migration for the simulation of supersonic ejector flow to SMP, MIC and GPU using OpenMP, OpenMP+LEO, and OpenACC directives

C. Couder-Castaneda, H. Barrios-Pina, I. Gitler, M. Arroyo

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Tags: Computer science, Fortran, Intel Xeon Phi, nVidia, OpenACC, OpenMP, Performance, Tesla C2070

June 10, 2015 by hgpu

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

Fatemah Ramzy AlZayer

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Tags: Algorithms, Computer science, Machine learning, Nearest neighbour, nVidia, OpenACC, Tesla K20, Tesla K40, Thesis

May 25, 2015 by hgpu

Multi-GPU Support on Single Node Using Directive-Based Programming Model

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara Chapman

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Tags: Computer science, Heterogeneous systems, nVidia, OpenACC, OpenMP, Tesla K20

May 16, 2015 by hgpu

IPMACC: Translating OpenACC API to OpenCL

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Tesla K20

May 3, 2015 by hgpu

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

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

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high performance computing on graphics processing units: hgpu.org

Multi-dimensional Functional Principal Component Analysis

Accelerating the D3Q19 Lattice Boltzmann Model with OpenACC and MPI

Fast-Coding Robust Motion Estimation Model in a GPU

Parallel Programming in Actor-Based Applications via OpenCL

Autotuning OpenACC Work Distribution via Direct Search

Generating Efficient Tensor Contractions for GPUs

Autotuning Tensor Contraction Computations on GPUs

Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA

Performance of a code migration for the simulation of supersonic ejector flow to SMP, MIC and GPU using OpenMP, OpenMP+LEO, and OpenACC directives

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

Multi-GPU Support on Single Node Using Directive-Based Programming Model

IPMACC: Translating OpenACC API to OpenCL

Recent source codes

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

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

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