high performance computing on graphics processing units: hgpu.org

A. Lonardo, F. Ameli, R. Ammendola, A. Biagioni, O. Frezza, G. Lamanna, F. Lo Cicero, M. Martinelli, P. S. Paolucci, E. Pastorelli, L. Pontisso, D. Rossetti, F. Simeone, F. Simula, M. Sozzi, L. Tosoratto, P. Vicini

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Tags: CUDA, FPGA, Instrumentation and Detectors, nVidia, Physics, Tesla M2070

June 16, 2014 by hgpu

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, OpenMPI, Tesla M2070

June 15, 2014 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Locality Aware Work-Stealing Based Scheduling in Hybrid CPU-GPU

Performance analysis of parallel gravitational N-body codes on large GPU cluster

Composability of parallel codes on heterogeneous architectures

A Pattern Specification and Optimizations Framework for Accelerating Scientific Computations on Heterogeneous Clusters

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures

A Fast Poisson Solver with Periodic Boundary Conditions for GPU Clusters in Various Configurations

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases

Enhancing Efficiency of the RRTMG Radiation Code with GPU and MIC Approaches for Numerical Weather Prediction Models

Computation on GPU of Eigenvalues and Eigenvectors of a Large Number of Small Hermitian Matrices

NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters