high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach

George Bosilca, Aurelien Bouteiller, Anthony Danalis, Thomas Herault, Piotr Luszczek, Jack J. Dongarra

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla C2070

January 30, 2012 by hgpu

Determinant Computation on the GPU using the Condensation Method

Sardar Anisul Haque, Marc Moreno Maza

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 23, 2012 by hgpu

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, Heterogeneous systems, Linear Algebra, Programming techniques

January 19, 2012 by hgpu

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Muhammad Hasan Jamal, Nabeel AlSaber

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Tags: Computer science, CUDA, FEM, Finite element method, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5600

January 15, 2012 by hgpu

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Joao V. F. Lima, Nicolas Maillard, Vincent Danjean, Thierry Gautier

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia

January 14, 2012 by hgpu

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 13, 2012 by hgpu

Incomplete-LU and Cholesky Preconditioned Iterative Methods Using CUSPARSE and CUBLAS

Maxim Naumov

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

January 12, 2012 by hgpu

LU Factorization for Accelerator-based Systems

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Julien Langou, Hatem Ltaief, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070, Tesla S2050

January 9, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Davor Davidovic, Enrique S. Quintana-Orti

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, Mathematics, nVidia, Tesla C2050

January 6, 2012 by hgpu

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Pablo Quesada-Barriuso, Julian Lamas-Rodriguez, Dora B. Heras, Montserrat Boo, Francisco Arguello

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 295, OpenMP

January 5, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach

Determinant Computation on the GPU using the Condensation Method

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Incomplete-LU and Cholesky Preconditioned Iterative Methods Using CUSPARSE and CUBLAS

LU Factorization for Accelerator-based Systems

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

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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