In recent years research in the area of parallel architectures and parallel languages has become more and more important. On one hand parallel languages offer the advantage to implement parallel algorithms efficiently, on the other hand most of the currently used software is still implemented in sequential languages. Rewriting this software will take a long time and is also error prone, so that the resources of parallel systems are actually not efficiently used. Especially numerical problems have been subject to automatic parallelisation. This work especially focussed on loops and also resulted in new language definitions. This paper describes methods for detecting coarse grain parallelism within scientific C-programs and presents basic alg...
With the rise of chip-multiprocessors, the problem of parallelizing general-purpose programs has onc...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Abstract—Although multicore CPUs are dominating the market of desktops and servers, writing programs...
Traditional parallelism detection in compilers is performed by means of static analysis and more spe...
While the chip multiprocessor (CMP) has quickly become the predominant processor architecture, its c...
In recent years, since it seems that speed up of single processor or single core has been going up t...
Thesis (Ph. D.--University of Rochester. Dept. of Computer Science, 1991. Simultaneously published i...
While the chip multiprocessor (CMP) has quickly become the predominant processor architecture, its c...
. Research into automatic extraction of instruction-level parallelism and data parallelism from sequ...
To efficiently utilize the emerging heterogeneous multi-core architecture, it is essential to exploi...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
147 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.The study of theoretical and ...
Since the ‘free lunch’ of processor performance is over, parallelism has become the new trend in har...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
With the rise of chip-multiprocessors, the problem of parallelizing general-purpose programs has onc...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Abstract—Although multicore CPUs are dominating the market of desktops and servers, writing programs...
Traditional parallelism detection in compilers is performed by means of static analysis and more spe...
While the chip multiprocessor (CMP) has quickly become the predominant processor architecture, its c...
In recent years, since it seems that speed up of single processor or single core has been going up t...
Thesis (Ph. D.--University of Rochester. Dept. of Computer Science, 1991. Simultaneously published i...
While the chip multiprocessor (CMP) has quickly become the predominant processor architecture, its c...
. Research into automatic extraction of instruction-level parallelism and data parallelism from sequ...
To efficiently utilize the emerging heterogeneous multi-core architecture, it is essential to exploi...
The limited ability of compilers to nd the parallelism in programs is a signi cant barrier to the us...
147 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.The study of theoretical and ...
Since the ‘free lunch’ of processor performance is over, parallelism has become the new trend in har...
Traditional static analysis fails to auto-parallelize programs with a complex control and data flow....
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
With the rise of chip-multiprocessors, the problem of parallelizing general-purpose programs has onc...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Abstract—Although multicore CPUs are dominating the market of desktops and servers, writing programs...