Fork95 is an imperative parallel programming language intended to express algorithms for synchronous shared memory machines (PRAMs). It is based on ANSI C and offers additional constructs to hierarchically divide processor groups into subgroups and manage shared and private address subspaces. Fork95 makes the assembly-level synchronicity of the underlying hardware available to the programmer at the language level. Nevertheless, it supports locally asynchronous computation where desired by the programmer. We present a one--pass compiler, fcc, which compiles Fork95 and C programs to the SBPRAM machine. The SB-PRAM is a lock--step synchronous, massively parallel multiprocessor currently being built at Saarbrucken University, with a physically ...
As systems on chip are evolving to networks on chip (NOC), providing a unified communication infrast...
This thesis describes the implementation of MetaFork, a meta-language for con-currency platforms tar...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
The SB-PRAM is a lock-step-synchronous, massively parallel multiprocessor currently being built at S...
The SB-PRAM is a lock-step-synchronous, massively parallel multiprocessor currently being built at S...
We introduce a new parallel programming paradigm, namely synchronous parallel critical sections. Suc...
In the search for ''good'' parallel programming environments for Sandia's current and future paralle...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
We present ForkLight, an imperative parallel programming language for massively parallel asynchronou...
We introduce a new parallel programming paradigm, namely synchronous parallel critical sections. Suc...
As systems on chip are evolving to networks on chip (NOC) providing a unified communication infrastr...
The arrival multi-core processors or chip multiprocessors (CMP) operated with symmetrical multiproce...
Power consumption and fabrication limitations are increasingly playing significant roles in the desi...
Recent advances in multithreaded shared memory architectures have created a need for efficient and e...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
As systems on chip are evolving to networks on chip (NOC), providing a unified communication infrast...
This thesis describes the implementation of MetaFork, a meta-language for con-currency platforms tar...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
The SB-PRAM is a lock-step-synchronous, massively parallel multiprocessor currently being built at S...
The SB-PRAM is a lock-step-synchronous, massively parallel multiprocessor currently being built at S...
We introduce a new parallel programming paradigm, namely synchronous parallel critical sections. Suc...
In the search for ''good'' parallel programming environments for Sandia's current and future paralle...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
We present ForkLight, an imperative parallel programming language for massively parallel asynchronou...
We introduce a new parallel programming paradigm, namely synchronous parallel critical sections. Suc...
As systems on chip are evolving to networks on chip (NOC) providing a unified communication infrastr...
The arrival multi-core processors or chip multiprocessors (CMP) operated with symmetrical multiproce...
Power consumption and fabrication limitations are increasingly playing significant roles in the desi...
Recent advances in multithreaded shared memory architectures have created a need for efficient and e...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
As systems on chip are evolving to networks on chip (NOC), providing a unified communication infrast...
This thesis describes the implementation of MetaFork, a meta-language for con-currency platforms tar...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...