high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina, M. Castillo, F. D. Igual, R. Mayo, E. S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 9, 2011 by hgpu

A complete modular resultant algorithm targeted for realization on graphics hardware

Pavel Emeliyanenko

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

January 5, 2011 by hgpu

Modular Resultant Algorithm for Graphics Processors

Pavel Emeliyanenko

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

January 5, 2011 by hgpu

Efficient Multiplication of Polynomials on Graphics Hardware

Pavel Emeliyanenko

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Tags: Computer science, CUDA, Linear Algebra, nVidia

January 4, 2011 by hgpu

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Abhijeet Gaikwad, Ioane Muni Toke

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Tags: Computational finance, CUDA, Finance, Linear Algebra, nVidia, Sparse matrix, Tesla C870

December 28, 2010 by hgpu

Generating subdivision curves with L-systems on a GPU

Radomir Mech, Przemyslaw Prusinkiewicz

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Tags: Algorithms, ATI, ATI CTM, ATI Radeon 9700, Computer science, Linear Algebra

December 28, 2010 by hgpu

Performance Study of LU Decomposition on the Programmable GPU

Fumihiko Ino, Manabu Matsui, Keigo Goda, Kenichi Hagihara

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Tags: Cg, Computer science, Linear Algebra, nVidia, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 3400, OpenGL

December 26, 2010 by hgpu

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C1060

December 25, 2010 by hgpu

Singular value decomposition on GPU using CUDA

Sheetal Lahabar, P. J. Narayanan

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 280, Tesla S1070

December 24, 2010 by hgpu

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Luc Buatois, Guillaume Caumon, Bruno Levy

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, Linear Algebra, OpenGL, Sparse matrix

December 22, 2010 by hgpu

SIMD Optimization of Linear Expressions for Programmable Graphics Hardware

Chandrajit Bajaj, Insung Ihm, Jungki Min, Jinsang Oh

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Optimization

December 19, 2010 by hgpu

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Sparse matrix

December 13, 2010 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

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

A complete modular resultant algorithm targeted for realization on graphics hardware

Modular Resultant Algorithm for Graphics Processors

Efficient Multiplication of Polynomials on Graphics Hardware

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Generating subdivision curves with L-systems on a GPU

Performance Study of LU Decomposition on the Programmable GPU

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Singular value decomposition on GPU using CUDA

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

SIMD Optimization of Linear Expressions for Programmable Graphics Hardware

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

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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