4 citations · 16 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…