71 citations · 78 across the 6 of their papers we have counts for
3 papers · 1 filter
NDS: Programmer-Free Offload of High-Performance Near Data Strands
Shreyas Singh, Pratyush Nandi, Lin Jia +2
Near Data Processing (NDP) has the potential to significantly improve system performance and energy by alleviating data movement bottlenecks. However, most NDP proposals pose heavy…
Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction
Rahul Bera, Konstantinos Kanellopoulos, Shankar Balachandran +4
Long-latency load requests continue to limit the performance of high-performance processors. To increase the latency tolerance of a processor, architects have primarily relied on t…
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…