Add to ORKGProgrammer doesn’t define how computation is parallelized Compiler parallelizes the execution automatically Language’s constructs are inherently parallel Often purely functional languages (single-assignment) Parallelization not programmed ⇒ no parallelization bugs in code, easier to program Explicit Parallelism [8] Is explicitly defined by the programmer Can be difficult to program, debugging is har
It is now rather easy to build the hardware of a multiprocessor computer, but still quite difficult ...
Programming parallel machines is notoriously dicult. Factors contribut-ing to this diculty include t...
We propose a new technique for exploiting the inherent parallelism in lazy functional programs. Know...
In order to utilize parallel computers, four approaches, broadly speaking, to the provision of paral...
Compiling for parallelism is a longstanding topic of compiler research. This book describes the fund...
Automatic parallelizing compilers are often constrained in their transformations because they must c...
A certain balance between language features and compiler complexity is required to achieve reasonabl...
This paper describes parallelizing compilers which allow programmers to tune parallel program perfor...
Associated research group: Minnesota Extensible Language ToolsThis paper describes parallelizing com...
The shift of the microprocessor industry towards multicore architectures has placed a huge burden o...
This thesis explores translating well-written sequential programs in a subset of the Eiffel programm...
Languages with implicit parallelism are easier to program in than those with explicit parallelism, b...
Multi-core processors require a program to be decomposable into independent parts that can execute i...
Characteristics of full applications found in scientific computing industries today lead to challeng...
This paper presents an overview of automatic program parallelization techniques. It covers dependenc...
It is now rather easy to build the hardware of a multiprocessor computer, but still quite difficult ...
Programming parallel machines is notoriously dicult. Factors contribut-ing to this diculty include t...
We propose a new technique for exploiting the inherent parallelism in lazy functional programs. Know...
In order to utilize parallel computers, four approaches, broadly speaking, to the provision of paral...
Compiling for parallelism is a longstanding topic of compiler research. This book describes the fund...
Automatic parallelizing compilers are often constrained in their transformations because they must c...
A certain balance between language features and compiler complexity is required to achieve reasonabl...
This paper describes parallelizing compilers which allow programmers to tune parallel program perfor...
Associated research group: Minnesota Extensible Language ToolsThis paper describes parallelizing com...
The shift of the microprocessor industry towards multicore architectures has placed a huge burden o...
This thesis explores translating well-written sequential programs in a subset of the Eiffel programm...
Languages with implicit parallelism are easier to program in than those with explicit parallelism, b...
Multi-core processors require a program to be decomposable into independent parts that can execute i...
Characteristics of full applications found in scientific computing industries today lead to challeng...
This paper presents an overview of automatic program parallelization techniques. It covers dependenc...
It is now rather easy to build the hardware of a multiprocessor computer, but still quite difficult ...
Programming parallel machines is notoriously dicult. Factors contribut-ing to this diculty include t...
We propose a new technique for exploiting the inherent parallelism in lazy functional programs. Know...