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Implementation of Massive Artificial Neural Networks with CUDA

Domen Verber

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 595, Tesla C1060

April 17, 2012 by hgpu

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Mikhail E. Zhukovskiy, Gerd-Ruediger Jaenisch, Andreas Deresch, Roman V. Uskov

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Tags: Algorithms, CUDA, Monte Carlo simulation, nVidia, Physics

April 17, 2012 by hgpu

Exact diagonalization of the Hubbard model on graphics processing units

Topi Siro, Ari Harju

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla M2070

April 17, 2012 by hgpu

A pilgrimage to gravity on GPUs

Jeroen Bedorf, Simon Portegies Zwart

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Review

April 17, 2012 by hgpu

Solving incompressible two-phase flows on multi-GPU clusters

Peter Zaspel, Michael Griebel

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Tags: CUDA, Finite difference, Fluid dynamics, GPU cluster, Navier-Stokes equations, nVidia, Tesla C2050, Tesla S1070

April 16, 2012 by hgpu

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Hans Henrik Brandenborg Sorensen

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

April 16, 2012 by hgpu

Acceleration of CFD and data analysis using graphics processors

Ali Khajeh Saeed

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Tags: ATI, ATI FirePro V7800, ATI Stream, CUDA, Fluid dynamics, nVidia, Tesla C2070, Thesis

April 16, 2012 by hgpu

Fast GPU-based fluid simulations using SPH

Oystein E. Krog, Anne C. Elster

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Source codes

Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470, Package, Tesla C2050

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 by hgpu

An implementation of the tile QR factorization for a GPU and multiple CPUs

Jakub Kurzak, Rajib Nath, Peng Du, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

April 14, 2012 by hgpu

Parallelization of PageRank on Multicore Processors

Tarun Kumar, Parikshit Sondhi, Ankush Mittal

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Tags: Algorithms, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

April 14, 2012 by hgpu

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

Filippo Spiga, Ivan Girotto

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Tags: Benchmarking, BLAS, Computer science, CUDA, FFT, Matrix multiplication, nVidia, Package, Tesla C2050

April 14, 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

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high performance computing on graphics processing units: hgpu.org

Implementation of Massive Artificial Neural Networks with CUDA

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Exact diagonalization of the Hubbard model on graphics processing units

A pilgrimage to gravity on GPUs

Solving incompressible two-phase flows on multi-GPU clusters

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Acceleration of CFD and data analysis using graphics processors

Fast GPU-based fluid simulations using SPH

Efficient Hash Tables on the GPU

An implementation of the tile QR factorization for a GPU and multiple CPUs

Parallelization of PageRank on Multicore Processors

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

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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