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» On the Complexity of Universal Programs
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SAC
2009
ACM
16 years 1 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
IPPS
2005
IEEE
16 years 10 days ago
A Case Study on Pattern-Based Systems for High Performance Computational Biology
Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
Weiguo Liu, Bertil Schmidt
PLDI
2010
ACM
15 years 12 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky
ICLP
2001
Springer
15 years 11 months ago
Alternating Fixed Points in Boolean Equation Systems as Preferred Stable Models
We formally characterize alternating fixed points of boolean equation systems as models of (propositional) normal logic programs. To this end, we introduce the notion of a preferr...
K. Narayan Kumar, C. R. Ramakrishnan, Scott A. Smo...
TACS
2001
Springer
15 years 11 months ago
The UDP Calculus: Rigorous Semantics for Real Networking
Network programming is notoriously hard to understand: one has to deal with a variety of protocols (IP, ICMP, UDP, TCP etc), concurrency, packet loss, host failure, timeouts, the c...
Andrei Serjantov, Peter Sewell, Keith Wansbrough