Mitchell Wade

Saint Olaf College

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Intel® Threading Building Blocks part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
Threading Building Blocks (TBB), created by Intel®, offers an approach to implementing parallelism in a C++ program. TBB is a library that helps programmers take advantage of multi-core processor performance without having to be an expert on threading. The library represents a higher-level, task-based parallelism that abstracts platform details and threading mechanisms for scalability and performance.

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Open MPI part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
Open MPI is an open source MPI-2 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Originally representing the merger of several MPI implementations, Open MPI is able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to "build the best MPI library available."

OpenMP part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
Taken from OpenMP's mission statement: "The OpenMP Application Program Interface (API) supports multi-platform shared-memory parallel programming in C/C++ and Fortran on all architectures, including Unix platforms and Windows NT platforms. Jointly defined by a group of major computer hardware and software vendors, OpenMP is a portable, scalable model that gives shared-memory parallel programmers a simple and flexible interface for developing parallel applications for platforms ranging from the desktop to the supercomputer."

MPICH2 part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
MPICH2 is a freely available, high-performance implementation of the MPI (Message Passing Interface), both MPI-1 and MPI-2. It is also an alternative free MPI implementation to OpenMPI. MPICH2 provides an API for message passing for parallel computing in C and C++, as well as an MPI implementation that efficiently supports different computation and communication platforms. It has been tested on several platforms, including Linux (on IA32 and x86-64), Mac OS/X (PowerPC and Intel), Solaris (32- and 64-bit), and Windows.

java.util.concurrent part of Parallel Computing in the Computer Science Curriculum:Platform Resources:PPPs
The standard Java package java.util.concurrent contains utility classes which are useful in implementing concurrent programming in Java. This package includes a few small standardized extensible frameworks, as well as some classes that provide useful functionality and are otherwise tedious or difficult to implement.