The Mentat Run-Time System: Support for Medium Grain Parallel Computation

2005 ◽  
Author(s):  
A. Grimshaw
Keyword(s):  
Parallel Computation ◽  
System Support ◽  
Time System ◽  
Run Time

SARANA: language, compiler and run-time system support for spatially aware and resource-aware mobile computing

2008 ◽  
Vol 366 (1881) ◽  
pp. 3699-3708 ◽  
Author(s):  
Pradip Hari ◽  
Kevin Ko ◽  
Emmanouil Koukoumidis ◽  
Ulrich Kremer ◽  
Margaret Martonosi ◽  
...  
Keyword(s):  
Mobile Computing ◽  
System Development ◽  
Cost Model ◽  
Personal Digital Assistants ◽  
System Support ◽  
Time System ◽  
Systems Research ◽  
Trade Offs ◽  
Run Time ◽  
Resource Aware

Increasingly, spatial awareness plays a central role in many distributed and mobile computing applications. Spatially aware applications rely on information about the geographical position of compute devices and their supported services in order to support novel functionality. While many spatial application drivers already exist in mobile and distributed computing, very little systems research has explored how best to program these applications, to express their spatial and temporal constraints, and to allow efficient implementations on highly dynamic real-world platforms. This paper proposes the SARANA system architecture, which includes language and run-time system support for spatially aware and resource-aware applications. SARANA allows users to express spatial regions of interest, as well as trade-offs between quality of result (QoR), latency and cost. The goal is to produce applications that use resources efficiently and that can be run on diverse resource-constrained platforms ranging from laptops to personal digital assistants and to smart phones. SARANA's run-time system manages QoR and cost trade-offs dynamically by tracking resource availability and locations, brokering usage/pricing agreements and migrating programs to nodes accordingly. A resource cost model permeates the SARANA system layers, permitting users to express their resource needs and QoR expectations in units that make sense to them. Although we are still early in the system development, initial versions have been demonstrated on a nine-node system prototype.

On-demand FPGA run-time system for flexible and dynamical reconfiguration

2005 ◽  
Vol 1 (3/4) ◽  
pp. 193 ◽  
Author(s):  
Michael Ullmann ◽  
Michael Hubner ◽  
Jurgen Becker
Keyword(s):  
Time System ◽  
On Demand ◽  
Run Time

The Run-time System

2005 ◽  
pp. 399-442
Author(s):  
Joseph A. Fisher ◽  
Paolo Faraboschi ◽  
Cliff Young
Keyword(s):  
Time System ◽  
Run Time

Using run-time uncertainty to robustly schedule parallel computation

1997 ◽  
pp. 13-24
Author(s):  
R. D. Dietz ◽  
T. L. Casavant ◽  
T. E. Scheetz ◽  
T. A. Braun ◽  
M. S. Andersland
Keyword(s):  
Parallel Computation ◽  
Time Uncertainty ◽  
Run Time
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