![]() ![]() ![]() Wong, T., Preissl, R., Datta, P., et al., "10 14", IBM Research Divsion, Research Report RJ10502, 2012.Esser, S., Andreopoulos, A., Appuswamy, R., et al., "Cognitive Computing Systems: Algorithms and Applications for Networks of Neurosynaptic Cores." Proceedings IJCNN'13, IEEE, USA.Cassidy, A., Merolla, P., Arthur J., et al., "Cognitive Computing Building Block: A Versatile and Efficient Digital Neuron Model for Neurosynaptic Cores." Proceedings IJCNN'13, IEEE, USA.Amir, A., Datta, P., Risk, W., et al., "Cognitive Computing Programming Paradigm: A Corelet Language for Composing Networks of Neurosynaptic Cores", Proceedings IJCNN'13, IEEE, USA.Potok, "GPU-accelerated text mining," In Prof. Kim et al., "FAST: Fast architecture sensitive tree search on modern CPUs and GPUs", In Prof. Harchol-Balter, "ATLAS: A Scalable and High-Performance Scheduling Algorithm for Multiple Memory Controllers," In Prof. "Towards Efficient GPU Sharing on Multicore Processors," In SIGMETRICS '12, 119-124. Hawe, "A quantitative measure of fairness and discrimination for resource allocation in shared computer systems," DEC Research Report TR-301, '84. Clark, "Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems," In Proc. Tullsen, "Symbiotic job scheduling for a simultaneous multithreading processor," In Proc. Shanthikumar, "Scheduling multiclass single server queueing systems to stochastically maximize the number of successful departures," In Probability in the Engineering and Information Sciences, 3:967-978, 1989. Chakradhar, "Interference-driven resource management for GPU-based heterogeneous clusters," In Proc. Design document SSJ workload, SPECpower_ssj2008.of USENIX ATC, '11, USENIX Association, Berkeley, CA, USA, 3-3. Ranganathan, "Pegasus: Coordinated scheduling for virtualized accelerator-based systems," In Proc. Chakradhar, "Supporting GPU sharing in cloud environments with a transparent runtime consolidation," In Proc. ![]() Becchi et al, "A virtual memory based runtime to support multi-tenancy in clusters with GPUs," In Proc. Li, "vCUDA: GPU accelerated high performance computing in virtual machines," In Proc. ![]() of Euro-Par '10, Springer-Verlag, Berlin, Heidelberg, 379-391. Coviello, "A GPGPU Transparent Virtualization Component for High Performance Computing Clouds," In Proc.
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