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Global Arrays
Benchmarking the Intel FPGA SDK for Opencl Memory Interface
BCL: a Cross-Platform Distributed Data Structures Library
Advances, Applications and Performance of The
Enabling Efficient Use of UPC and Openshmem PGAS Models on GPU Clusters
Automatic Handling of Global Variables for Multi-Threaded MPI Programs
Overview of the Global Arrays Parallel Software Development Toolkit: Introduction to Global Address Space Programming Models
Exascale Computing Project -- Software
The Global Arrays User Manual
Recent Activities in Programming Models and Runtime Systems at ANL
The Opengl ES Shading Language
The Opengl ES Shading Language
Enabling Efficient Use of UPC and Openshmem PGAS Models on GPU Clusters
Gain: Distributed Array Computation with Python
Opencl and the Opencl Logo Are Trademarks of Apple Inc
Legate Numpy: Accelerated and Distributed Array Computing
Efficient Memory Access with Numpy Global Arrays Using Local Memory Access
Global Arrays: a Non-Uniform-Memory-Access Programming Model for High-Performance Computers
An Investigation of Distributed Shared Memory Programming
Top View
Introduction to the Partitioned Global Address Space (PGAS) Programming Model
Parallelization of a Dissipative Particle Dynamics Application in a Partitioned Global Address Space Environment
Software Libraries and Middleware for Exascale Systems
Download (2446Kb)
The Petscsf Scalable Communication Layer
Optimizing Performance of Global Arrays Toolkit on the Cray X1
Exploring FPGA Optimizations in Opencl for Breadth-First Search on Sparse Graph Datasets
MPI Usage at NERSC: Present and Future
Chapel Comes of Age: Making Scalable Programming Productive
Overview of the Global Arrays Parallel Software Development Toolkit
A Parallel Implementation of the Self Organising Map Using Opencl
Overview of the MVAPICH Project: Latest Status and Future Roadmap
PGAS Programming Models
MVAPICH2 for Intel
Lawrence Berkeley National Laboratory Recent Work
Openmp* in Action
Global Futures: a Multithreaded Execution Model for Global Arrays-Based Applications
Inter-Language Comparison
BCL: a Cross-Platform Distributed Data Structures Library
(DK) Panda the Ohio State University E-Mail:
[email protected]
Parallel Programming Models Overview
On Load Balancing of Hybrid Opencl/Global Arrays Applications on Heterogeneous Platforms
Nwchem and Global Arrays Applications Using MPI-3 RMA
Programming Using the Partitioned Global Address Space (PGAS)
Using the Global Arrays Toolkit to Reimplement Numpy for Distributed Computation
PGAS with “Mixins” (Teams and Asyncs)
Performance Characterization and Optimization of Atomic Operations on AMD Gpus
Kokkos Programming Model
PGAS15 UPC++ Tutorial.09162015
Lecture 2: Different Memory and Variable Types
The Global Array Programming Model for High Performance Scienti C
Towards Performance Tools for Emerging GPU- Accelerated Exascale Supercomputers
Investigating the Performance and Productivity of DASH Using The
Overview of the Global Arrays Parallel Software Development Toolkit*
Towards a High Level Approach for the Programming of Heterogeneous Clusters
Using Shared Arrays in Message-Driven Parallel Programs
Advances, Applications and Performance of the Global Arrays Shared Memory Programming Toolkit
Introduction to Cilk Programming
Designing MPI and PGAS Libraries for Exascale Systems: the MVAPICH2 Approach
Building Multi-Petaflop Systems with MVAPICH2 and Global Arrays
Overview of MVAPICH2 and MVAPICH2-‐X
Data Distribution in Hpx
Beyond Classical Parallel Programming Frameworks: Chapel
Mvapich2-Gdr
Developing Software for OLCF Frontier
Automated Transformation of GPU-Specific Opencl Kernels
On the Road to Diposh: Adventures in High-Performance Openshmem
On Efficiency Improvement of Grid Applications
Programmingmoderngpu Supercomputers
Authoring User-Defined Domain Maps in Chapel∗
DASH: a C++ PGAS Library for Distributed Data Structures and Parallel Algorithms
P1417R0: Historical Lessons for C++ Linear Algebra Library Standardization
1. Optimizing Software in C++ an Optimization Guide for Windows, Linux, and Mac Platforms
Productivity and Performance of Global-View Programming with Xcalablemp PGAS Language
Using the Global Arrays Toolkit to Reimplement Numpy for Distributed Computation
ECP Apps Summary For