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Fast End-to-End Multi-Conjugate AO Simulations Using Graphical Processing Units and the MAOS Simulation Code

Lianqi Wang, Brent Ellerbroek

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Optics, Package, Physics

July 25, 2012 by hgpu

Acceleration and Optimisation of a Monte Carlo Code for Light Propagation in Sprays and Other Scattering Media

Joakim Jonsson

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Optics, Optimization, Physics, Thesis

January 13, 2012 by hgpu

Precomputed compressive sensing for light transport acquisition

Satoshi Yamamoto, Yasumasa Itakura, Masashi Sawabe, Gimpei Okada, Toshiya Nakaguchi, Norimichi Tsumura

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Tags: CUDA, nVidia, Optics, Physics, Sensing, Tesla C1060

December 28, 2011 by hgpu

Numerical investigations on nonlinear nonparaxial beam propagation using graphics processing units

Pedro Chamorro-Posada, Julio Sanchez-Curto, Graham S. McDonald

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, OpenMPI, Optics, Physics, Tesla C1060

December 1, 2011 by hgpu

B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, David A.B. Miller, Hugo Thienpont

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Tags: Algorithms, FDTD, Finite-difference time-domain, Mesoscale and Nanoscale Physics, nVidia, Optics, Package, Physics, Tesla C1060

November 14, 2011 by hgpu

Performance and scalability of Fourier domain optical coherence tomography acceleration using graphics processing units

Jian Li, Pavel Bloch, Jing Xu, Marinko V. Sarunic, Lesley Shannon

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Tags: CUDA, Data acquisition, Medicine, Memory model, nVidia, nVidia GeForce GTX 295, Optics, Tomography

November 6, 2011 by hgpu

Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures

V. Venugopal, K. Richards, S. Barden, T. Rimmele, S. Gregory, L. Johnson

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Tags: Algorithms, Benchmarking, CUDA, DSP, FPGA, nVidia, Optics, Physics, Tesla C1060, Tesla C2050

October 30, 2011 by hgpu

Solving diffractive optics problems using graphics processing units

D. L. Golovashkin, N. L. Kasanskiy

Tags: Algorithms, ATI, ATI FireStream, Brook, Cg, CUDA, FDTD, Finite-difference time-domain, nVidia, OpenGL, Optics, Overview, Physics, Raytracing, Review

September 11, 2011 by hgpu

GPU Based Real-time Correction for Optical Distortions in Head-Mounted Displays

Dongdong Weng, Yongtian Wang, Yue Liu

Tags: Image processing, Optics

August 26, 2011 by hgpu

Fast parallel simulation of fiber optical communication systems accelerated by a graphics processing unit

S. Pachnicke, A. Chachaj, M. Helf, P.M. Krummrich

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 275, Optics

August 15, 2011 by hgpu

In-process optical characterization method for sub-100-nm nanostructures

S. Kiess, M.Z. Shaikh, M. Gregoire, T. Bringewat, S. Simon, A. Tausendfreund, M. Zimmermann, G. Goch

Tags: Algorithms, Mesoscale and Nanoscale Physics, Optics, Physics

August 9, 2011 by hgpu

Computational wave optics library for C++: CWO++ library

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

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