high performance computing on graphics processing units: hgpu.org

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pier Paolucci, Roberto Petronzio, Davide Rossetti, Andrea Salamon, Gaetano Salina, Francesco Simula, Nazario Tantalo, Laura Tosoratto, Piero Vicini

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Tags: Distributed computing, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, OpenMPI, Physics, QCD

December 2, 2010 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Extended-precision floating-point numbers for GPU computation

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Computer generated holography using parallel commodity graphics hardware

GPU histogram computation

FPGAs, GPUs and the PS2 – A Single Programming Methodology

Motion Estimation for H.264/AVC using Programmable Graphics Hardware

Hardware accelerated multi-resolution geometry synthesis

The visual vulnerability spectrum: characterizing architectural vulnerability for graphics hardware

Glift: Generic, efficient, random-access GPU data structures

Real-time GPU rendering of piecewise algebraic surfaces

Improving GPU particle filter with shader model 3.0 for visual tracking

APEnet+: a 3D toroidal network enabling Petaflops scale Lattice QCD simulations on commodity clusters

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Allo: Accelerator Design Language

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HPC Benchmark Survey

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CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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