high performance computing on graphics processing units: hgpu.org

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Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Bassem Makni

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Tags: Algorithms, Computer science, CUDA, nVidia

October 1, 2013 by hgpu

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

Deepali Shinde, Mithilesh Said, Pratik Shetty, Swapnil Gharat

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 420 M

October 1, 2013 by hgpu

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla M2050

October 1, 2013 by hgpu

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Isaiah Hull

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 560 Ti, Stochastic simulation

September 30, 2013 by hgpu

Adapting data processing methods to modern GPU architecture

Bartlomiej Szczepaniak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Wavelet

September 29, 2013 by hgpu

Separate Compilation in a Language-Integrated Heterogeneous Environment

Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia

September 29, 2013 by hgpu

Evaluation of disconnected quark loops for hadron structure using GPUs

C. Alexandrou, M. Constantinou, V. Drach, K. Hadjiyiannakou, K. Jansen, G. Koutsou, A. Strelchenko, A. Vaquero

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Tags: CUDA, High Energy Physics - Lattice, Nuclear Theory, nVidia, Physics, Tesla M2070

September 29, 2013 by hgpu

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Oliver Demetz, David Hafner, Joachim Weickert

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Tags: Computer science, Computer vision, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460

September 29, 2013 by hgpu

Optimizing Urban Environmental Simulations using Boinc

Aditya Vegesna

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Tags: Computer science, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 645, Thesis

September 29, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

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Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Rey DeLeon, Kyle Felzien, Inanc Senocak

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Tags: CUDA, Earth and Space Sciences, GPU cluster, MPI, nVidia, Tesla S1070, Weather prediction, Weather Prediction Model

September 28, 2013 by hgpu

APOGEE: adaptive prefetching on GPUs for energy efficiency

Ankit Sethia, Ganesh Dasika, Mehrzad Samadi, Scott Mahlke

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, OpenGL, Prefetch

September 28, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Adapting data processing methods to modern GPU architecture

Separate Compilation in a Language-Integrated Heterogeneous Environment

Evaluation of disconnected quark loops for hadron structure using GPUs

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Optimizing Urban Environmental Simulations using Boinc

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

APOGEE: adaptive prefetching on GPUs for energy efficiency

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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