3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.AR2020★ 3 cited
Proximu$: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute
Anant V. Nori, Rahul Bera, Shankar Balachandran +5
Deep Neural Network (DNN) inference is emerging as the fundamental bedrock for a multitude of utilities and services. CPUs continue to scale up their raw compute capabilities for D…
cs.PF2018
Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors
Jyothi Krishna V S, Shankar Balachandran
Scheduling in Asymmetric Multicore Processors (AMP), a special case of Heterogeneous Multiprocessors, is a widely studied topic. The scheduling techniques which are mostly runtime…