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05/08/2023
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation
Modern DNN workloads increasingly rely on activation functions consistin...
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03/30/2023
MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory
Shared L1 memory clusters are a common architectural pattern (e.g., in G...
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11/01/2022
Empowering Data Centers for Next Generation Trusted Computing
Modern data centers have grown beyond CPU nodes to provide domain-specif...
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10/17/2022
A ”New Ara” for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
Vector architectures are gaining traction for highly efficient processin...
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09/26/2022
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile
Most of today's computer vision pipelines are built around deep neural n...
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07/28/2022
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction
Branch prediction is arguably one of the most important speculative mech...
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01/10/2022
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
Keyword spotting (KWS) is a crucial function enabling the interaction wi...
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01/12/2021
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
Sound event detection (SED) is a hot topic in consumer and smart city ap...
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05/12/2020
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator
Binary Neural Networks enable smart IoT devices, as they significantly r...
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03/05/2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
Deep neural networks have achieved impressive results in computer vision...
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03/05/2018
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes
Deep neural networks have achieved impressive results in computer vision...
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03/05/2018
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
Deploying state-of-the-art CNNs requires power-hungry processors and off...
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06/17/2016
