Vector In Memory Architecture for simple and high efficiency computing
TimeWednesday, July 13th6pm - 7pm PDT
LocationLevel 2 Lobby
Event Type
Networking Reception
Work-in-Progress Poster
DescriptionData movement is one of the main challenges of contemporary system architectures.
Near-Data Processing (NDP) mitigates this issue by moving computation closer to the memory, avoiding excessive data movement.
Our proposal, Vector-In-Memory Architecture (VIMA), executes large vector instructions near 3D-stacked memories using vector functional units, and uses a small data cache to enable short-term data reuse.
It provides an easy programming interface and guarantees precise exceptions.
When executing stream-behaved applications using a single core, VIMA offers a speedup of up to 26x over a CPU system baseline with vector operations in a single-core processor while spending 93% less energy.