3 citations · 3 across the 3 of their papers we have counts for
3 papers
Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference
Mingxuan He, Mithuna Thottethodi, T. N. Vijaykumar
Emerging machine learning (ML) models (e.g., transformers) involve memory pin bandwidth-bound matrix-vector (MV) computation in inference. By avoiding pin crossings, processing in…
QED: Scalable Verification of Hardware Memory Consistency
Gokulan Ravi, Xiaokang Qiu, Mithuna Thottethodi +1
Memory consistency model (MCM) issues in out-of-order-issue microprocessor-based shared-memory systems are notoriously non-intuitive and a source of hardware design bugs. Prior har…
Hydra: Leveraging Functional Slicing for Efficient Distributed SDN Controllers
Yiyang Chang, Ashkan Rezaei, Balajee Vamanan +3
The conventional approach to scaling Software Defined Networking (SDN) controllers today is to partition switches based on network topology, with each partition being controlled by…