high performance computing on graphics processing units: hgpu.org

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The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

Katrin Heitmann, Nicholas Frontiere, Chris Sewell, Salman Habib, Adrian Pope, Hal Finkel, Silvio Rizzi, Joe Insley, Suman Bhattacharya

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Tags: Astrophysics, Cosmology, CUDA, N-body simulation, nVidia

November 16, 2014 by hgpu

The Implementation of a Real-Time Polyphase Filter

Karel Adamek, Jan Novotny, Wes Armour

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Tags: CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 750 Ti, Performance, Signal processing, Tesla K40

November 16, 2014 by hgpu

CUDArray: CUDA-based NumPy

Anders Boesen Lindbo Larsen

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Tags: Computer science, CUDA, Neural networks, nVidia, Package, Python

November 16, 2014 by hgpu

Whippletree: Task-based Scheduling of Dynamic Workloads on the GPU

Markus Steinberger, Michael Kenzel, Pedro Boechat, Bernhard Kerbl, Mark Dokter, Dieter Schmalstieg

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Rendering

November 13, 2014 by hgpu

Mobile GPU Computing Based Filter Bank Convolution for Three-dimensional Wavelet Transform

Di Zhao

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Tags: CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia Jetson TK1, nVidia Tegra

November 13, 2014 by hgpu

High-accuracy Optimization by Parallel Iterative Discrete Approximation and Multi-GPU Computing

Di Zhao

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Tags: Biology, Computational biology, Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 660, Thesis

November 13, 2014 by hgpu

Semi-Analytic Solutions to the Radiative Transfer Equations via Hetergeneous Computing

Daniel Alphin Holladay

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Tags: Astrophysics, Heterogeneous systems, nVidia, OpenCL, Physics, Tesla C2050, Tesla C2075, Thesis

November 13, 2014 by hgpu

Manycore processing of repeated range queries over massive moving objects observations

Francesco Lettich, Salvatore Orlando, Claudio Silvestri, Christian S. Jensen

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 560

November 13, 2014 by hgpu

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Tiark Rompf, Kunle Olukotun

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Tags: Code generation, Computer science, CUDA, nVidia, Performance, Tesla K20

November 12, 2014 by hgpu

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Ramy Medhat, Yogi Joshi, Borzoo Bonakdarpour, Sebastian Fischmeister

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Tags: Algorithms, Computer science, CUDA, Logic in Computer Science, MapReduce, nVidia, Tesla K20, Thrust

November 12, 2014 by hgpu

Code Optimization on Kepler GPUs and Xeon Phi

Yong-Chull Jang, Hwancheol Jeong, Jangho Kim, Weonjong Lee, Jeonghwan Pak, Yuree Chung (SWME Collaboration)

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Tags: CUDA, High Energy Physics - Lattice, Intel Xeon Phi, Maxwell's equations, MPI, nVidia, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, OpenMP, Performance, Physics, QCD, Tesla K40

November 12, 2014 by hgpu

Real-time 3D Reconstruction for FPGAs: A Case Study for Evaluating the Performance, Area, and Programmability Trade-offs of the Altera OpenCL SDK

Quentin Gautier, Alexandria Shearer, Janarbek Matai, Dustin Richmond, Pingfan Meng, Ryan Kastner

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Tags: Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 760, OpenCL

November 9, 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

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high performance computing on graphics processing units: hgpu.org

The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

The Implementation of a Real-Time Polyphase Filter

CUDArray: CUDA-based NumPy

Whippletree: Task-based Scheduling of Dynamic Workloads on the GPU

Mobile GPU Computing Based Filter Bank Convolution for Three-dimensional Wavelet Transform

High-accuracy Optimization by Parallel Iterative Discrete Approximation and Multi-GPU Computing

Semi-Analytic Solutions to the Radiative Transfer Equations via Hetergeneous Computing

Manycore processing of repeated range queries over massive moving objects observations

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Code Optimization on Kepler GPUs and Xeon Phi

Real-time 3D Reconstruction for FPGAs: A Case Study for Evaluating the Performance, Area, and Programmability Trade-offs of the Altera OpenCL SDK

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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