Presentation
ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions
DescriptionModern data-driven applications expose limitations of von Neumann architectures—extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack flexibility and require data transfers. Existing compute in- and near-memory solutions mitigate these issues but face usability challenges due to data placement constraints. We propose a novel cache architecture that doubles as a tightly coupled compute-near-memory coprocessor. Our RISC-V cache controller executes custom instructions from the host CPU using vector operations dispatched to near-memory vector processing units within the cache memory subsystem. This architecture abstracts memory synchronization and data mapping from application software while offering software-based Instruction Set Architecture (ISA) extensibility. Our implementation shows 30 × to 84 × performance improvement when operating on 8-bit data over the same system with a traditional cache when executing a worst-case 32-bit CNN workload, with only 41.3 % area overhead.
Event Type
Research Manuscript
TimeWednesday, June 252:45pm - 3:00pm PDT
Location3002, Level 3
Design
DES2B: In-memory and Near-memory Computing Architectures, Applications and Systems