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Code Refinement of Stencil Codes

Marcel Koster, Roland Leissa, Sebastian Hack

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Tags: Algorithms, Computer science, CUDA, DSL, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

October 10, 2014 by hgpu

Parallel implementation of linear repetitive processes identification using subspace algorithms

Dominik Kujawa

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

October 10, 2014 by hgpu

Accelerating Protein Coordinate Conversion using GPUs

Mahsa Bayati, Jaydeep P. Bardhan, David M. King, Miriam Leeser

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Tesla C2075

October 10, 2014 by hgpu

FDTD on Distributed Heterogeneous Multi-GPU Systems

Eirik Myklebost

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Tags: Algorithms, Benchmarking, Cluster computing, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 760, Physics, Tesla K20, Thesis, Ultrasound

October 10, 2014 by hgpu

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer

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Tags: Computer science, CUDA, Machine learning, Mathematical Software, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Tesla K40

October 8, 2014 by hgpu

Movement Tracking in Terrain Conditions Accelerated with CUDA

Piotr Sklodowski, Witold Zorski

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 650 Ti

October 8, 2014 by hgpu

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

Ahmad Abdelfattah, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Mathematical Software, nVidia, Package, Tesla K20

October 8, 2014 by hgpu

A Framework for the Volumetric Integration of Depth Images

Victor Adrian Prisacariu, Olaf Kahler, Ming Ming Cheng, Julien Valentin, Philip H.S. Torr, Ian D. Reid, David W. Murray

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Tags: Computer science, Computer vision, CUDA, nVidia

October 8, 2014 by hgpu

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Satoshi Tanaka, Kohji Yoshikawa, Takashi Okamoto, Kenji Hasegawa

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical simulation, nVidia, Raytracing, Tesla M2090

October 8, 2014 by hgpu

Redução de Complexidade de Tempo em GPUs

Ricardo Nobre, Tiago Carneiro, Marcos Negreiros, Felipe Martins Muller

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Tags: GPU, paralelismo, problema da pesquisa, Redução de complexidade, speedup

October 8, 2014 by rhnobre

Using Graphics Processing Unit to Accelerate Database Query Execution

Kamil Ksiazek, Piotr Sapiecha

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTS 450, OpenCL

October 6, 2014 by hgpu

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

Eunsang Ko, Yunseok Song, and Yo-Sung Ho

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX Titan

October 6, 2014 by hgpu

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

ThunderKittens: Tile primitives for speedy kernels

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

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Code Refinement of Stencil Codes

Parallel implementation of linear repetitive processes identification using subspace algorithms

Accelerating Protein Coordinate Conversion using GPUs

FDTD on Distributed Heterogeneous Multi-GPU Systems

cuDNN: Efficient Primitives for Deep Learning

Movement Tracking in Terrain Conditions Accelerated with CUDA

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

A Framework for the Volumetric Integration of Depth Images

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Redução de Complexidade de Tempo em GPUs

Using Graphics Processing Unit to Accelerate Database Query Execution

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

Recent source codes

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

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

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

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