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Full-Text Articles in Physical Sciences and Mathematics
Formal Implementation Of High-Level Languages For Data-Parallel Programming, Deb Banerjee
Formal Implementation Of High-Level Languages For Data-Parallel Programming, Deb Banerjee
Dartmouth College Ph.D Dissertations
The success of parallel architectures has been limited by the lack of high-level parallel programming languages and useful programming models. The data-parallel model of programming has been demonstrated to be useful and natural on a wide variet of parallel architectures. This dissertation presents a set of formal techniques for compiling high- level languages based on data-parallelism.
Spede: A Simple Programming Environment For Distributed Execution (Users' Manual), James Gochee
Spede: A Simple Programming Environment For Distributed Execution (Users' Manual), James Gochee
Dartmouth College Undergraduate Theses
Traditional single processor computers are quickly reaching their full computational potentials. The quest for faster and faster chips have brought technology to the point where the laws of physics are hampering future gains. Significant gains in speed must therefore come from using multiple processors instead of a single processor. This technology usually represents itself in the form of a parallel computer, such as the Connection Machine Model 5. Recently however, much interest has been focused on software that organizes single processor computers to behave like a parallel computer. This is desirable for sites which have large installations of workstations, since …
Spede: Simple Programming Environment For Distributed Execution, James Gochee
Spede: Simple Programming Environment For Distributed Execution, James Gochee
Dartmouth College Undergraduate Theses
One of the main goals for people who use computer systems, particularly computational scientists, is speed. In the quest for ways to make applications run faster, engineers have developed parallel computers, which use more than one CPU to solve a task. However, many institutions already posses significant computational power in networks of workstations. Through software, it is possible to glue together clusters of machines to simulate a parallel environment. SPEDE is one such system, designed to place the potential of local machines at the fingertips of the programmer. Through a simple interface, users design computational objects that can be linked …