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Improving GPU Performance Prediction with Data Transfer Modeling

Michael Boyer, Jiayuan Meng, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance

April 6, 2013 by hgpu

Parallel Implementation of Dynamic Programming Algorithm Using Graphics Processing Unit

M. Khurram Rehman, M. Umer Sarwar, M. Ramzan Talib, M. Salman Mansoor, M. Bilal Sarwar

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GT 525 M, nVidia GeForce GT 610 M, Sequence alignment

April 6, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 2013 by hgpu

Deploying Graph Algorithms on GPUs: an Adaptive Solution

Da Li, Michela Becchi

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C2070

April 4, 2013 by hgpu

Optimising Purely Functional GPU Programs

Trevor L. McDonell, Manuel M. T. Chakravarty, Gabriele Keller, Ben Lippmeier

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Tags: Computer science, CUDA, Haskell, nVidia, Package, Performance, Tesla T10

April 4, 2013 by hgpu

Real-time Stereo Vision: Optimizing Semi-Global Matching

Matthias Michael, Jan Salmen, Johannes Stallkamp, Marc Schlipsing

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Stereo vision

April 4, 2013 by hgpu

GPU Accelerated Automated Feature Extraction from Satellite Images

K. Phani Tejaswi, D. Shanmukha Rao, Thara Nair, A. V. V. Prasad

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2075, Visualization

April 3, 2013 by hgpu

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

Vlad Slavici

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, MapReduce, Matrix multiplication, nVidia, Tesla M2090, Thesis

April 3, 2013 by hgpu

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia, Maurizio Paolillo, Antonio Pescape', Giuseppe Longo, Giorgio Ventre

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Tags: Algorithms, Astrophysics, CUDA, Data mining, Globular clusters, nVidia, nVidia GeForce GT 540 M

April 3, 2013 by hgpu

Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

Ashwin M. Aji, Pavan Balaji, James Dinan, Wu-chun Feng, Rajeev Thakur

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Tags: Computer science, CUDA, Hybrid computing, MPI, nVidia, OpenCL, Tesla C2050

April 3, 2013 by hgpu

Solving RFIC Simulation Tasks Using GPU Computations

Mihail-Iulian Andrei, Sebastian Kula

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Tags: Algorithms, CUDA, Electrodynamics, FEM, Finite element method, Linear Algebra, nVidia, Tesla C1060, Tesla C2070

April 1, 2013 by hgpu

Parallelization of the Cuckoo Search using CUDA Architecture

Raka Jovanovic, Milan Tuba

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 540 M, Optimization

April 1, 2013 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Improving GPU Performance Prediction with Data Transfer Modeling

Parallel Implementation of Dynamic Programming Algorithm Using Graphics Processing Unit

Adapting Particle Filter Algorithms to Many-Core Architectures

Deploying Graph Algorithms on GPUs: an Adaptive Solution

Optimising Purely Functional GPU Programs

Real-time Stereo Vision: Optimizing Semi-Global Matching

GPU Accelerated Automated Feature Extraction from Satellite Images

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

Solving RFIC Simulation Tasks Using GPU Computations

Parallelization of the Cuckoo Search using CUDA Architecture

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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