high performance computing on graphics processing units: hgpu.org

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Practical Symbolic Race Checking of GPU Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

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Tags: Benchmarking, Computer science, CUDA, nVidia, Package, Performance

August 19, 2014 by hgpu

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla K40

August 19, 2014 by hgpu

Accelerated composite distribution function methods for computational fluid dynamics using GPU

Matthew R. Smith, Yen-Chih Chen

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, nVidia GeForce GTX 670, Tesla C2075

August 19, 2014 by hgpu

High Level High Performance Computing for Multitask Learning of Time-varying Models

Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens

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Tags: Algorithms, Computer science, CUDA, nVidia, Python

August 18, 2014 by hgpu

GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation

Yuan Zhao, Xinchang Zhang, Zhen Zhang, Lu Wang, Yueming Hu

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Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, OpenGL, Rendering, Visualization

August 15, 2014 by hgpu

Numerical Computations with GPUs

Volodymyr Kindratenko

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Tags: Algorithms, ATI, Book, Computer science, CUDA, Differential equations, FFT, Linear Algebra, Mathematics, Numerical simulation, nVidia, OpenCL, Pseudo-random number generators, Software Engineering

August 13, 2014 by hgpu

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Joshua Michael Pyle

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Tags: Bloom filter, Computer science, CUDA, Data Structures and Algorithms, Databases, nVidia, nVidia GeForce GT 620, Security, Thesis

August 13, 2014 by hgpu

Non-Local Total Generalized Variation for Optical Flow Estimation

Rene Ranftl, Kristian Bredies, Thomas Pock

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 780 Ti, Optical flow

August 13, 2014 by hgpu

Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization

K. Avinash, Monu Pandey, Ajinkya Deshpande, M. Rajasekhara Babu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

August 13, 2014 by hgpu

MPI-GIS: New Parallel Overlay Algorithm and System Prototype

Satish Puri, Sushil K. Prasad

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 780

August 11, 2014 by hgpu

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

Hyunsu Cho, Peter A. Yoon

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

Ugur Cekmez, Mustafa Ozsiginan, Musa Aydin, Ozgur Koray Sahingoz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Path problems

August 11, 2014 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

Practical Symbolic Race Checking of GPU Programs

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Accelerated composite distribution function methods for computational fluid dynamics using GPU

High Level High Performance Computing for Multitask Learning of Time-varying Models

GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation

Numerical Computations with GPUs

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Non-Local Total Generalized Variation for Optical Flow Estimation

Improved GPU Co-processor Sorting Algorithm with Barrier Synchronization

MPI-GIS: New Parallel Overlay Algorithm and System Prototype

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

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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