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Studies Concerning the ATLAS IBL Calibration Architecture

Moritz Kretz

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Tags: CUDA, Nuclear Experiment, nVidia, nVidia GeForce GT 480, nVidia GeForce GTX 280, nVidia Quadro FX 570 M, Physics, Thesis

January 31, 2013 by hgpu

Hardware accelerated symmetric condensed node TLM procedure for NVIDIA graphics processing units

Filippo Rossi, Poman P.M. So

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 Ultra, nVidia Quadro FX 5600, nVidia Quadro FX 570 M

June 29, 2011 by hgpu

Parallel Particle-Based Reaction Diffusion: A GPU Implementation

Lorenzo Dematte

Tags: Algorithms, Biochemistry, Biology, CUDA, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 260, nVidia Quadro FX 570 M

May 17, 2011 by hgpu

High-performance GPU based Rendering for Real-Time, rigid 2D/3D-Image Registration in Radiation Oncology

Jakob Spork

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Tags: Cg, Image registration, Medicine, nVidia, nVidia GeForce 7600 GS, nVidia Quadro FX 570 M, OpenGL, Review, Thesis

March 5, 2011 by hgpu

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

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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