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Large-Scale Sound Field Rendering in Rectangular Room with Specular Reflection

Takao Tsuchiya, Osamu Yamashita

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, nVidia, OpenMPI, Rendering, Tesla M2075, Wave equation

August 2, 2013 by hgpu

NOVA: A Functional Language for Data Parallelism

Alexander Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea

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Tags: Compilers, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

August 1, 2013 by hgpu

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

Jianqiang Dong, Fei Wang, Bo Yuan

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Tags: Clustering, Computer science, CUDA, nVidia, Tesla K20

August 1, 2013 by hgpu

A note on the GPU acceleration of eigenvalue computations

K. Rupp, Ph. Tillet, B. F. Smith, T. Grasser, A. Jungel

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL

August 1, 2013 by hgpu

Matrix Convolution using Parallel Programming

Anirud Pande, Rohit Chandna

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Tags: Image processing, MPI, OpenCL

August 1, 2013 by hgpu

GPU peer-to-peer techniques applied to a cluster interconnect

Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni, Mauro Bisson, Massimiliano Fatica, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Enrico Mastrostefano, Pier Stanislao Paolucci, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, CUDA, FPGA, MPI, nVidia, Physics, Tesla S2075

August 1, 2013 by hgpu

Iterative CT Reconstruction on the GPU

Gabor Jakab, Tamas Huszar, Balazs Csebfalvi

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, Tomography

July 31, 2013 by hgpu

The Promises of Hybrid Hexagonal/Classical Tiling for GPU

Tobias Grosser, Sven Verdoolaege, Albert Cohen, P. Sadayappan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia Quadro NVS 5200 M, PTX

July 31, 2013 by hgpu

Opportunities for Heterogeneous CPUGPU Task Scheduling

Christiaan Arnoldus, Robert Witte

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Tags: ATI, ATI Radeon HD 4850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce 9200 M GS, OpenCL, Task scheduling

July 31, 2013 by hgpu

GPU-based Streaming Algorithm for High-Resolution Cloth Simulation

Min Tang, Dinesh Manocha, Rahul Narain, Ruofeng Tong, Chang Meng

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Tags: 3D Graphics and Realism, Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Tesla K20

July 31, 2013 by hgpu

Fast Computation of Computer-generated Hologram Using Xeon Phi Coprocessors

Koki Murano, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

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Tags: Computer holography, Computer science, Intel Phi, OpenMP

July 31, 2013 by hgpu

Graphics Processing Unit acceleration of the Random Phase Approximation in the projector augmented wave method

Jun Yan, Lin Li, Christopher O'Grady

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Package, Physics, Tesla C2075

July 31, 2013 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

An HPC Benchmark Survey and Taxonomy for Characterization

HDM: Home made Diffusion Models

Home-made Diffusion Model from Scratch to Hatch

General Matrix Multiplication (GEMM)

High Performance Matrix Multiplication

CrossTL: Universal Programming Language & Translator

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation

TBD-GPU

Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

GPU-acceleration of the Discontinuous Galerkin Shallow Water Equations Solver (DG-SWEM) using CUDA and OpenACC

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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