high performance computing on graphics processing units: hgpu.org

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Hasitha Muthumala Waidyasooriya, Yasuhiro Takei, Masanori Hariyama, Michitaka Kameyama

View

Download (PDF)

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 590

January 24, 2013 by hgpu

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

EnergyUCB-Bandit

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

Selection algorithm of graphic accelerators in heterogeneous cluster for optimization computing

Autotuning, Code Generation and Optimizing Compiler Technology for GPUs

Automatic Parallelization for GPUs

Orthogonalization on a General Purpose Graphics Processing Unit with Double Double and Quad Double Arithmetic

Regularization and nonlinearities for neural language models: when are they needed?

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Vlasov on GPU (VOG Project)

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Recent source codes

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

LLaMA-Inference-Bench

MATAR