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An Optimization for Fast Generation of Digital Hologram

Joong-Seok Song, Jungsik Park, Sungwoo Kim, Jong-Il Park

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Tags: Algorithms, Computer holography, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

October 17, 2011 by hgpu

Dynamic Fine-Grain Scheduling of Pipeline Parallelism

Daniel Sanchez, David Lo, Richard M. Yoo, Jeremy Sugerman, Christos Kozyrakis

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques

October 17, 2011 by hgpu

Programming with Explicit Dependencies. A Framework for Portable Parallel Programming

Eva Burrows

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 250, Programming techniques, Sorting, Thesis

October 17, 2011 by hgpu

A High Performance Parallel Sparse Linear Equation Solver Using CUDA

Andrew J. Martin

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 570, Thesis

October 17, 2011 by hgpu

Hard-Sphere Collision Simulations with Multiple GPUs, PCIe Extension Buses and GPU-GPU Communications

K.A. Hawick, D.P.Playne

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Tags: Algorithms, CUDA, GPU cluster, Gravitation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla C2070

October 16, 2011 by hgpu

Bit-Packed Damaged Lattice Potts Model Simulations with CUDA and GPUs

Ken A. Hawick, Mitchell G.B. Johnson

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Tags: CUDA, Data parallelism, Ising model, Materials Science, Nearest neighbour, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Phase transition, Physics, Probability, Tesla C2050, Tesla C2070

October 16, 2011 by hgpu

Asynchronous Communication for Finite-Difference Simulations on GPU Clusters using CUDA and MPI

D.P. Playne, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480

October 16, 2011 by hgpu

High performance finite difference PDE solvers on GPUs

Daniel Egloff

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Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Risk Management, Tesla C1060

October 16, 2011 by hgpu

An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU

Andrew Davidson, Yao Zhang, John D. Owens

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 470

October 16, 2011 by hgpu

GPU-to-CPU callbacks

Jeff A. Stuart, Michael Cox, John D. Owens

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques

October 16, 2011 by hgpu

The Anatomy of High-Performance 2D Similarity Calculations

Imran S. Haque, Vijay S. Pande, W. Patrick Walters

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Source codes

Tags: Algorithms, Biochemistry, Chemistry, Clustering, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package

October 16, 2011 by hgpu

Data Layout Pruning on GPU

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 280, Performance

October 16, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

An Optimization for Fast Generation of Digital Hologram

Dynamic Fine-Grain Scheduling of Pipeline Parallelism

Programming with Explicit Dependencies. A Framework for Portable Parallel Programming

A High Performance Parallel Sparse Linear Equation Solver Using CUDA

Hard-Sphere Collision Simulations with Multiple GPUs, PCIe Extension Buses and GPU-GPU Communications

Bit-Packed Damaged Lattice Potts Model Simulations with CUDA and GPUs

Asynchronous Communication for Finite-Difference Simulations on GPU Clusters using CUDA and MPI

High performance finite difference PDE solvers on GPUs

An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU

GPU-to-CPU callbacks

The Anatomy of High-Performance 2D Similarity Calculations

Data Layout Pruning on GPU

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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