4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Error Detection and Correction Codes for Safe In-Memory Computations
Luca Parrini, Taha Soliman, Benjamin Hettwer +6
In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators. However, the non-ideal…
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines
Omar Ghazal, Simranjeet Singh, Tousif Rahman +8
In-memory computing for Machine Learning (ML) applications remedies the von Neumann bottlenecks by organizing computation to exploit parallelism and locality. Non-volatile memory d…
A Parallel SystemC Virtual Platform for Neuromorphic Architectures
Melvin Galicia, Farhad Merchant, Rainer Leupers
With the increasing interest in neuromorphic computing, designers of embedded systems face the challenge of efficiently simulating such platforms to enable architecture design expl…
Accelerating BLAS on Custom Architecture through Algorithm-Architecture Co-design
Farhad Merchant, Tarun Vatwani, Anupam Chattopadhyay +3
Basic Linear Algebra Subprograms (BLAS) play key role in high performance and scientific computing applications. Experimentally, yesteryear multicore and General Purpose Graphics P…