CONCURRENCY
2000
13 years 11 months ago
2000
Java's support for parallel and distributed processing makes the language attractive for metacomputing applications, such as parallel applications that run on geographically ...
TPDS
2008
13 years 11 months ago
2008
Security is increasingly becoming an important issue in the design of real-time parallel applications, which are widely used in the industry and academic organizations. However, ex...
TC
2008
13 years 11 months ago
2008
As the scale of high-performance computing (HPC) continues to grow, failure resilience of parallel applications becomes crucial. In this paper, we present FT-Pro, an adaptive fault...
PC
2008
13 years 11 months ago
2008
Reconfigurable computing (RC) applications employing both microprocessors and FPGAs have potential for large speedup when compared with traditional (software) parallel application...
JPDC
2008
13 years 11 months ago
2008
This paper addresses the problem of porting distributed parallel applications to the Grid. One of the challenges we address is the change from static homogeneous cluster environmen...
CLUSTER
2008
IEEE
13 years 11 months ago
2008
IEEE
We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the no...
BMCBI
2010
13 years 11 months ago
2010
Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
CASCON
1994
14 years 23 days ago
1994
The events occurring in the execution of a distributed or parallel application are related by a partial, rather than a total, order. We have developed prototype software that coll...
SOSP
1997
ACM
14 years 23 days ago
1997
ACM
Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
SPIESR
1998
14 years 23 days ago
1998
Abstract. Imaging applications such as filtering, image transforms and compression/decompression require vast amounts of computing power when applied to large data sets. These appl...