Sciweavers

46 search results - page 3 / 10
» Programming Living Cells to Function as Massively Parallel C...
Sort
View
PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...
IPPS
1999
IEEE
13 years 11 months ago
Implementing a Non-Strict Functional Programming Language on a Threaded Architecture
Abstract. The combination of a language with ne-grain implicit parallelism and a data ow evaluation scheme is suitable for high-level programming on massively parallel architectur...
Shigeru Kusakabe, Kentaro Inenaga, Makoto Amamiya,...
SAC
2009
ACM
14 years 2 months ago
Celling SHIM: compiling deterministic concurrency to a heterogeneous multicore
Parallel architectures are the way of the future, but are notoriously difficult to program. In addition to the low-level constructs they often present (e.g., locks, DMA, and non-...
Nalini Vasudevan, Stephen A. Edwards