activity
20162022
most citedApproximations in Deep Learning

4 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2022★ 4 cited

Approximations in Deep Learning

Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys +3

The design and implementation of Deep Learning (DL) models is currently receiving a lot of attention from both industrials and academics. However, the computational workload associ…

cs.AR2022★ 3 cited

Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory

Jisung Park, Roknoddin Azizi, Geraldo F. Oliveira +6

Bulk bitwise operations, i.e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genom…

cs.AR2022★ 1 cited

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…

cs.AR2022★ 2 cited

Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning

Gagandeep Singh, Rakesh Nadig, Jisung Park +7

Hybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent research proposes various techniques t…

cs.LG2021★ 1 cited

Fast Exploration of Weight Sharing Opportunities for CNN Compression

Etienne Dupuis, David Novo, Ian O'Connor +1

The computational workload involved in Convolutional Neural Networks (CNNs) is typically out of reach for low-power embedded devices. There are a large number of approximation tech…

cs.DC2019★ 4 cited

Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures

Anastasiia Butko, Florent Bruguier, David Novo +2

Energy-efficiency has become a major challenge in modern computer systems. To address this challenge, candidate systems increasingly integrate heterogeneous cores in order to satis…

cs.DC2016★ 1 cited

A Workflow for Fast Evaluation of Mapping Heuristics Targeting Cloud Infrastructures

Roman Ursu, Khalid Latif, David Novo +5

Resource allocation is today an integral part of cloud infrastructures management to efficiently exploit resources. Cloud infrastructures centers generally use custom built heurist…