CaKernel – A Parallel Application Programming Framework for Heterogenous Computing Architectures

Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems

In this work, we examine the computational efficiency of scientific applications on three high-performancecomputing systems based on processors of varying degrees of specialization: an x86 server processor, the AMD Opteron; a more specialized System-on-Chip solution, the BlueGene/L and BlueGene/P; and a configurable embedded core, the Tensilica Xtensa. We use the atmospheric component of the gl...

A MapReduce Framework for Heterogeneous Computing Architectures

Nowadays, an increasing number of computational systems are equipped with heterogeneous compute resources, i.e., following different architecture. This applies to the level of a single chip, a single node and even supercomputers and large-scale clusters. With its impressive price-to-performance ratio as well as power efficiency compared to traditional multicore processors, graphics processing u...

Parallel Embedded Computing Architectures

Programming in Manticore, a Heterogenous Parallel Functional Language

The Manticore project is an effort to design and implement a new functional language for parallel programming. Unlike many earlier parallel languages, Manticore is a heterogeneous language that supports parallelism at multiple levels. Specifically, the Manticore language combines Concurrent ML-style explicit concurrency with fine-grain, implicitly threaded, parallel constructs. These lectures w...

Programming Models for Parallel Computing