78 citations · 184 across the 24 of their papers we have counts for
5 papers · 1 filter
Empowering Data Centers for Next Generation Trusted Computing
Aritra Dhar, Supraja Sridhara, Shweta Shinde +2
Modern data centers have grown beyond CPU nodes to provide domain-specific accelerators such as GPUs and FPGAs to their customers. From a security standpoint, cloud customers want…
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
Matteo Perotti, Matheus Cavalcante, Nils Wistoff +3
Vector architectures are gaining traction for highly efficient processing of data-parallel workloads, driven by all major ISAs (RISC-V, Arm, Intel), and boosted by landmark chips,…
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile
Renzo Andri, Beatrice Bussolino, Antonio Cipolletta +2
Most of today's computer vision pipelines are built around deep neural networks, where convolution operations require most of the generally high compute effort. The Winograd convol…
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction
Anastasios Zouzias, Kleovoulos Kalaitzidis, Konstantin Berestizshevsky +3
Branch prediction is arguably one of the most important speculative mechanisms within a high-performance processor architecture. A common approach to improve branch prediction accu…
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri +3
Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or direct…