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142
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SAC
2009
ACM
15 years 10 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
164
Voted
IPPS
2009
IEEE
15 years 10 months ago
Multi-dimensional characterization of temporal data mining on graphics processors
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
148
Voted
IPPS
2009
IEEE
15 years 10 months ago
Using hardware transactional memory for data race detection
Abstract—Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to degrees of hardware concurrency hitherto unavailable...
Shantanu Gupta, Florin Sultan, Srihari Cadambi, Fr...
146
Voted
EUROPAR
2009
Springer
15 years 10 months ago
XJava: Exploiting Parallelism with Object-Oriented Stream Programming
Abstract. This paper presents the XJava compiler for parallel programs. It exploits parallelism based on an object-oriented stream programming paradigm. XJava extends Java with new...
Frank Otto, Victor Pankratius, Walter F. Tichy
129
Voted
MIDDLEWARE
2009
Springer
15 years 10 months ago
PAQ: Persistent Adaptive Query Middleware for Dynamic Environments
Abstract. Pervasive computing applications often entail continuous monitoring tasks, issuing persistent queries that return continuously updated views of the operational environmen...
Vasanth Rajamani, Christine Julien, Jamie Payton, ...