high performance computing on graphics processing units: hgpu.org

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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

Brute force de-shredding algorithm using the GPU

Simon Naude

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Tags: Algorithms, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Computer science, OpenCL, Thesis

November 12, 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

Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Ru Zhu

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Tags: ATI, ATI Radeon HD 7970, C++ AMP, Computational Physics, Computer science, Physics

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

An Execution Model for OpenCL 2.0

Benedict R. Gaster

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Tags: Computer science, OpenCL, Overview

November 9, 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

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

Applications

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

Brute force de-shredding algorithm using the GPU

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Code Optimization on Kepler GPUs and Xeon Phi

An Execution Model for OpenCL 2.0

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

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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