Titlebook: Languages and Compilers for Parallel Computing; 28th International W Xipeng Shen,Frank Mueller,James Tuck Conference proceedings 2016 Sprin

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Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors with multi-level pointers common in scientific computations. This paper describes a system that includes both compile-time and runtime solutions for this problem, with the overarching goal of improving programmer productivity while maintaining performance..We find that the standard linearization me

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Anticonvulsants

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PNNU: Parallel Nearest-Neighbor Units for Learned Dictionariestion fundamental to machine learning and data analytics algorithms such as sparse coding for feature extraction. PNNU achieves high performance by using three techniques: (1) PNNU employs a novel fast table look up scheme to identify a small number of atoms as candidates from which the nearest neigh

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iling therapies do not inhibit the invasion potential or the GBM cancer stem cell (CSC) population, thereby increasing tumor heterogeneity and chemoresistance. Thus, therapies targeting proliferation, invasion and CSC maintenance are essential for efficient treatment of GBM. In this study, we invest

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capsaicin

Mehmet Can Kurt,Bin Ren,Gagan Agrawalf the unexpected spatio-temporal patterns in patient arrivals and wait times. How did these patterns emerge? What reasons and mechanisms account for the emerging patterns? How can patient arrivals be regulated at different hospitals and thus improve the service utilization in the region? In this cha

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