Abstract
As systems on chip are evolving to networks on chip (NOC) providing a unified communication infrastructure for a number of computational resources, being able to easily implement computational tasks as a parallel program that can be efficiently executed by multiple resources together is becoming increasingly important. Recent advances in thread-level parallel (TLP) architectures have made it possible to implement efficiently an easy-to-use synchronous shared memory programming model (Parallel Random Access Machine, PRAM) on a NOC. In this paper we describe a novel programming language, called e, for fine-grained TLP programming on synchronous shared memory NOC architectures realizing the PRAM model. The language uses a familiar c-like syntax and provides support for shared and private variables, arbitrary hierarchical groups of threads, and synchronous control structures. This allows a programmer to use various advanced TLP programming techniques like data parallelism, divide-and-conquer technique, different blocking techniques, and both synchronous and asynchronous programming style. We will also shortly experiment the e-language with real parallel programs using our experimental e-compiler and scalable Eclipse NOC architecture.
Original language | English |
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Pages (from-to) | 807 - 812 |
Number of pages | 6 |
Journal | WSEAS Transactions on Computers |
Volume | 3 |
Issue number | 3 |
Publication status | Published - 2004 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Thread-level parallel programming languages
- parallel random access machine
- networks on chip