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Found 3 papers, 2 papers with code
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks
Driven by the wide adoption of deep neural networks (DNNs) across different application domains, multi-tenancy execution, where multiple DNNs are deployed simultaneously on the same hardware, has been proposed to satisfy the latency requirements of different applications while improving the overall system utilization.
ProTuner: Tuning Programs with Monte Carlo Tree Search
We explore applying the Monte Carlo Tree Search (MCTS) algorithm in a notoriously difficult task: tuning programs for high-performance deep learning and image processing.
The GAP Benchmark Suite
Algorithm designers can use the input graphs and the baseline implementations to demonstrate their contribution.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms
