Abstract: Effectively using shared-memory multiprocessors requires substantial programming effort ... with data abstraction to ease the task of creating modular and efficient parallel programs. It is ...

The assignments are the heart of this course. Much of what you learn in this course will be through completing these assignments.

NextSilicon has joined the OpenMP ARB, a group of leading hardware and software vendors and research organizations creating the standard for the most popular shared-memory parallel programming model ...

NextSilicon has joined the OpenMP ARB, a group of leading vendors and research organizations, creating standard shared-memory ...

IBAMR is a distributed-memory parallel implementation of the immersed boundary (IB) method with support for Cartesian grid adaptive mesh refinement (AMR). Support for distributed-memory parallelism is ...

Abstract: Shared memory, one of the most popular models for programming parallel platforms, is becoming ubiquitous both in low-end workstations and high-end servers. With the advent of low-latency ...

Advanced Research Center for Green Materials Science and Technology, National Taiwan University, Taipei 10617, Taiwan Article Views are the COUNTER-compliant sum of full text article downloads since ...

Repository for Parallel Programming course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University. Hypergol is a Data Science/Machine Learning ...

These platforms support a variety of parallel processing languages (such as CC++ which ... clean and efficient manner by providing a multiprocessor-like shared memory programming model on network of ...