high performance computing on graphics processing units: hgpu.org

Applications

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Pricing of cross-currency interest rate derivatives on Graphics Processing Units

Duy Minh Dang

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Tags: CUDA, Finance, nVidia, Presentation, Tesla C870

July 7, 2011 by hgpu

High precision integer multiplication with a graphics processing unit

N. Emmart, C. Weems

Tags: Algorithms, Computer science, Extended precision, FFT, nVidia

July 7, 2011 by hgpu

Introducing Energy Efficiency into Graphics Processors

B. V. N. Silpa, Preeti Ranjan Panda

Tags: Computer science, Energy-efficient computing, Hardware Architecture

July 7, 2011 by hgpu

An Adaptive Hybrid Multiprocessor technique for bioinformatics sequence alignment

T. Bonny, M.A. Zidan, K.N. Salama

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia Quadro FX 4800, Sequence alignment, Smith-Waterman algorithm

July 7, 2011 by hgpu

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Shaojing Li, Boris Livshitz, Vitaliy Lomakin

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Tags: CUDA, Electrodynamics, Finite difference, nVidia, nVidia GeForce GTX 280

July 7, 2011 by hgpu

Accelerating Wavelet Lifting on Graphics Hardware Using CUDA

Wladimir J. van der Laan, Andrei C. Jalba, Jos B.T.M. Roerdink

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Wavelet

July 6, 2011 by hgpu

Option pricing with COS method on graphics processing units

Bowen Zhang, Cornelis W. Oosterlee

Tags: Computational finance, Finance

July 6, 2011 by hgpu

Fast face recognition approach using a graphical processing unit (GPU)

Y. Ouerhani, M. Jridi, A. AlFalou

Tags: Image processing, Image recognition, nVidia, nVidia GeForce 8400 GS

July 6, 2011 by hgpu

Tuning A Hybrid GPU-CPU V-cycle Multilevel Preconditioner for Solving Large Real and Complex Systems of FEM Equations

A. Dziekonski, A. Lamecki, M. Mrozowski

Tags: Conjugate gradient solver, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 480, Sparse matrix

July 6, 2011 by hgpu

Flexible OpenCL accelerated disparity estimation for video communication applications

Christian Weigel, Niklas Treutner

Tags: Algorithms, Computer science, OpenCL, Stereo vision

July 6, 2011 by hgpu

Striped Smith-Waterman speeds database searches six times over other SIMD implementations

M. Farrar

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Tags: Algorithms, Bioinformatics, Biology, Sequence alignment, Smith-Waterman algorithm

July 6, 2011 by hgpu

Six-fold speed-up of Smith-Waterman sequence database searches using parallel processing on common microprocessors

Torbjorn Rognes, Erling Seeberg

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Tags: Algorithms, Bioinformatics, Biology, Sequence alignment, Smith-Waterman algorithm

July 6, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

Pricing of cross-currency interest rate derivatives on Graphics Processing Units

High precision integer multiplication with a graphics processing unit

Introducing Energy Efficiency into Graphics Processors

An Adaptive Hybrid Multiprocessor technique for bioinformatics sequence alignment

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Accelerating Wavelet Lifting on Graphics Hardware Using CUDA

Option pricing with COS method on graphics processing units

Fast face recognition approach using a graphical processing unit (GPU)

Tuning A Hybrid GPU-CPU V-cycle Multilevel Preconditioner for Solving Large Real and Complex Systems of FEM Equations

Flexible OpenCL accelerated disparity estimation for video communication applications

Striped Smith-Waterman speeds database searches six times over other SIMD implementations

Six-fold speed-up of Smith-Waterman sequence database searches using parallel processing on common microprocessors

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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