Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
One of the keys for the success of parallel processing is the availability of high-level programming languages for on-the-shelf parallel architectures. Using explicit message passi...
In this paper we study the impact of sharing memory resources on five Google datacenter applications: a web search engine, bigtable, content analyzer, image stitching, and protoc...
Lingjia Tang, Jason Mars, Neil Vachharajani, Rober...
While microprocessor designers turn to multicore architectures to sustain performance expectations, the dramatic increase in parallelism of such architectures will put substantial...
Susmit Biswas, Diana Franklin, Alan Savage, Ryan D...
In-memory data sharing for grids allow location-transparent access to data stored in volatile memory. Existing Grid middlewares typ- ically support only explicit data transfer betw...