. There exist transformations of PRAM programs with predictable communication behavior to existing architectures. We extend the class of tractable programs to those with communication depending on the input. First, we define this class of programs. Second, we give source code transformations to simplify the programs and to eliminate indirect addresses and conditionals. Third, we show how to derive the communication behavior statically. Fourth, we show how to compute the mapping at compile time. Finally, we give upper time bounds for execution on existing architectures. 1 Introduction In sequential computing the step from programming in machine code to programming in machine independent high level languages has been done for decades. Althou...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
Abstract: We present anovel approach to parallel computing, where (virtual) PRAM processors are repr...
The PRAM is a shared memory model of parallel computation which abstracts away from inessential engi...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
AbstractWe introduce the notions of control and communication structures in PRAM computations and re...
Most theoretical work is based on the PRAM-model which has a block of shared memory and executes in ...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
In the search for ''good'' parallel programming environments for Sandia's current and future paralle...
We present a new programming language designed to allow the convenient expression of algorithms for ...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Todays parallel computers provide good support for problems that can be easily embedded on the machi...
170 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.In this thesis, we compare th...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/19...
The main problems with current multicore architectures are that they are difficult to program due to...
Data-parallel languages allow programmers to use the familiar machine-independent programming style ...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
Abstract: We present anovel approach to parallel computing, where (virtual) PRAM processors are repr...
The PRAM is a shared memory model of parallel computation which abstracts away from inessential engi...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
AbstractWe introduce the notions of control and communication structures in PRAM computations and re...
Most theoretical work is based on the PRAM-model which has a block of shared memory and executes in ...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
In the search for ''good'' parallel programming environments for Sandia's current and future paralle...
We present a new programming language designed to allow the convenient expression of algorithms for ...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Todays parallel computers provide good support for problems that can be easily embedded on the machi...
170 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.In this thesis, we compare th...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/19...
The main problems with current multicore architectures are that they are difficult to program due to...
Data-parallel languages allow programmers to use the familiar machine-independent programming style ...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
Abstract: We present anovel approach to parallel computing, where (virtual) PRAM processors are repr...
The PRAM is a shared memory model of parallel computation which abstracts away from inessential engi...