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The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

, , и . ICPADS, стр. 442-443. IEEE Computer Society, (2013)

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Michael Suda

Michael Suda

Sascha Suda

Chikako Suda

Johannes Suda

 

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Cloth Simulation in the SILC Matrix Computation Framework: A Case Study., , , , и . PPAM, том 4967 из Lecture Notes in Computer Science, стр. 1086-1095. Springer, (2007)Brief announcement: a GPU accelerated iterated local search TSP solver., и . SPAA, стр. 188-189. ACM, (2012)The future of accelerator programming: abstraction, performance or can we have both?, , и . SAC, стр. 886-895. ACM, (2014)Parallel Monte Carlo Tree Search Scalability Discussion., и . Australasian Conference on Artificial Intelligence, том 7106 из Lecture Notes in Computer Science, стр. 452-461. Springer, (2011)Parallel Monte Carlo Tree Search on GPU., и . SCAI, том 227 из Frontiers in Artificial Intelligence and Applications, стр. 80-89. IOS Press, (2011)Introduction to iWAPT Workshop., и . IPDPS Workshops, стр. 1341. IEEE Computer Society, (2017)Poster: High Performance GPU Accelerated TSP Solver., и . SC Companion, стр. 1413-1414. IEEE Computer Society, (2012)Aspects of GPU for general purpose high performance computing., , , , , и . ASP-DAC, стр. 216-223. IEEE, (2009)Distributed SILC: An Easy-to-Use Interface for MPI-Based Parallel Matrix Computation Libraries., , , , и . PARA, том 4699 из Lecture Notes in Computer Science, стр. 860-870. Springer, (2006)Enumeration Based Search Algorithm For Finding A Regular Bi-partite Graph Of Maximum Attainable Girth For Specified Degree And Number Of Vertices, и . CoRR, (2013)