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Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

GPU Simulation of Radiation in Matter

Johannes Christof de Fine Licht

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Tags: CUDA, nVidia, nVidia GeForce GT 650 M, Physics, Thesis

July 13, 2013 by hgpu

Solving 3D Anisotropic Elastic Wave Equations on Parallel GPU Devices

Robin M. Weiss, Jeffrey Shragge

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Tags: CUDA, FDTD, Finite-difference time-domain, MPI, nVidia, nVidia GeForce GTX 480, Physics, Tesla C2070, Wave equation

July 7, 2013 by hgpu

vSMC: Parallel Sequential Monte Carlo in C++

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematical Software, Mathematics, nVidia, nVidia Quadro FX 2000, OpenCL, Package, Physics, Signal processing, Statistics

July 1, 2013 by hgpu

Betatron tune measurement with the LHC damper using a GPU

Frederic Dubouchet

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Tags: CUDA, FFT, Hadronic Colliders, High Energy Physics - Experiment, nVidia, Physics, Thesis

June 29, 2013 by hgpu

Modeling of the behavior of 222 Rn progeny in diffusion chamber using CUDA

Adam Stanojevic, Milos Ivanovic, Nenad Stevanovic, Filipovic Nenad

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Tags: CUDA, nVidia, nVidia GeForce GTX 560, Physics, Tesla C2090

June 26, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

K. Amyx, J. Balasalle, J. King, I.V. Pogorelov, M. Borland, R. Soliday

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla C2070

June 21, 2013 by hgpu

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

K.M. Hock, A. Wolski, R.B. Appleby

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 580, Physics

June 21, 2013 by hgpu

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Hybrid computing, Numerical simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Phase transition, Physics, Tesla M2075, Tesla M2090

June 19, 2013 by hgpu

Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

Tomohiro Okuyama

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Tags: Algorithms, Biophysics, CUDA, Differential equations, Heterogeneous systems, nVidia, ODEs, Ordinary differential equations, Physics, Tesla C2070, Thesis

June 18, 2013 by hgpu

Space Charge Dominated Envelope Dynamics Using GPUs

N. Kulabukhova

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Tags: High Energy Physics - Experiment, nVidia, OpenMP, Physics, Tesla S2050

June 17, 2013 by hgpu

SolidTextureNets

On Demand Solid Texture Synthesis Using Deep 3D Networks

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

deepnetts: Deep Netts Pure Java Deep Learning Engine

Towards High Performance Java-based Deep Learning Frameworks

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

TACO: The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra

OpenCL-FPGA-LLVM: LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

CUDAnative.jl: Julia support for native CUDA programming

Abstractions for Programming Graphics Processors in High-Level Programming Languages

GPU explicit-state model checking

Porting tree-based hash table compression to GPGPU model checking

OCLADock: OpenCL Accelerated Molecular Docking

Accelerating Molecular Docking by Parallelized Heterogeneous Computing – A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs

jax-md: Differentiable, Hardware Accelerated, Molecular Dynamics

JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python

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2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

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