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INCA
November 2019 • Whit Schonbein, Ryan E. Grant, Matthew G. F. Dosanjh, Dorian Arnold
Current proposals for in-network data processing operate on data as it streams through a network switch or endpoint. Since compute resources must be available when data arrives, these approaches provide deadline-based models of execution. This paper introduces a deadline-free general compute model for network endpoints called INCA: In-Network Compute Assistance. INCA builds upon contemporary NIC offload capabilities to provide on-NIC, deadline-free, general-purpose compute capacities that can be utilized when the …
Artificial Intelligence
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Parallel Computing
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