high performance computing on graphics processing units: hgpu.org

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Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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

March 12, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, Factorization, Heterogeneous systems, Intel Xeon Phi, Linear Algebra

February 28, 2014 by hgpu

Multi-Elimination ILU Preconditioners on GPUs

Dimitar Lukarski, Hartwig Anzt, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

February 23, 2014 by hgpu

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Xavier Lacoste, Mathieu Faverge, Pierre Ramet, Samuel Thibault, George Bosilca

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, nVidia, Sparse direct solvers, Tesla M2070

January 30, 2014 by hgpu

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

Bogdan Oancea, Tudorel Andrei

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, Memory model, MPI, nVidia, nVidia GeForce GTX 280

December 29, 2013 by hgpu

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

Ying Song, Wencheng Wang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

December 19, 2013 by hgpu

Designing Scientific Applications on GPUs

Raphael Couturier

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Tags: Book, Computer science, CUDA, Factorization, Fluid simulation, Image processing, Mathematics, nVidia, Physics, Tutorial

November 13, 2013 by hgpu

Preliminary Experiments with XKaapi on Intel Xeon Phi Coprocessor

Joao Vicente Ferreira Lima, Francois Broquedis, Thierry Gautier, Bruno Raffin

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Tags: Computer science, Factorization, Intel, Intel Phi, Intel Xeon Phi

November 11, 2013 by hgpu

Efficient SVM Training Using Parallel Primal-Dual Interior Point Method on GPU

Jing Jin, Xianggao Cai, Xiaola Lin

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Tesla C2050

October 18, 2013 by hgpu

GPU-based Parallel Reservoir Simulators

Zhangxin Chen, Hui Liu, Song Yu, Ben Hsieh, Lei Shao

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Tags: Computer science, CUDA, Factorization, nVidia, Tesla C2070, Tesla K20

September 14, 2013 by hgpu

Towards a functional run-time for dense NLA domain

Mauro Blanco, Pablo Perdomo, Pablo Ezzatti, Alberto Pardo, Marcos Viera

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

September 2, 2013 by hgpu

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

Locality optimization on a NUMA architecture for hybrid LU factorization

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Multi-Elimination ILU Preconditioners on GPUs

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

Designing Scientific Applications on GPUs

Preliminary Experiments with XKaapi on Intel Xeon Phi Coprocessor

Efficient SVM Training Using Parallel Primal-Dual Interior Point Method on GPU

GPU-based Parallel Reservoir Simulators

Towards a functional run-time for dense NLA domain

Recent source codes

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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