Publications related to Floating-point arithmetic

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

2019

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

IEEE2019

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

David Atienza Alonso, Andreas Peter Burg, Miguel Peon Quiros, Andrea Bonetti, Martino Ruggiero, Benoît Walter Denkinger, Flavio Ponzina, Soumya Subhra Basu, Szabolcs Balási

Energy consumption is a significant obstacle to integrate deep learning into edge devices. Two common techniques to curve it are quantization, which reduces the size of the memories (static energy) and the number of accesses (dynamic energy), and voltage s ...

2019

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Edoardo Charbon, Ivan Michel Antolovic, Chunmin Zhang, Scott Anthony Lindner, Juan Mata Pavia, Martin Wolf

A 252 x 144 single-photon avalanche diode (SPAD) pixel sensor, called Ocelot, is reported for light detection and ranging (LiDAR). The sensor, fabricated in the 180-nm CMOS technology, features 1728 12-bit time-to-digital converters (TDCs) with 48.8-ps res ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Sampling sufficiency for determining hydraulic habitat diversity

Anton Schleiss, Walter Gostner, Mário Jorge Rodrigues Pereira Da Franca, Severin Stähly, Christopher Robinson

The geometry and hydrodynamics of river reaches are key ecohydraulic descriptors. Statistics of water depth and velocity measurements are usually taken as proxies for habitat suitability in rivers. However, little is known about the sufficiency of data to ...

2019

Numerical and experimental investigation of shedding mechanisms from leading-edge cavitation

Mohamed Farhat, Ali Amini

Leading-edge cavitation is responsible of the generation of transient cavities, usually made of clouds of bubbles. These transient cavities travel downstream to high-pressure regions and collapse violently, leading to noise and vibration as well as erosion ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Maximal fusion of facts on the web with credibility guarantee

Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

The Web became the central medium for valuable sources of information fusion applications. However, such user-generated resources are often plagued by inaccuracies and misinformation as a result of the inherent openness and uncertainty of the Web. While fi ...

ELSEVIER SCIENCE BV2019

CSL controls telomere maintenance and genome stability in human dermal fibroblasts

Joachim Lingner, Thomas Frédéric Lunardi, Paris Jafari

Genomic instability is a hallmark of cancer. Whether it also occurs in Cancer Associated Fibroblasts (CAFs) remains to be carefully investigated. Loss of CSL/RBP-J kappa, the effector of canonical NOTCH signaling with intrinsic transcription repressive fun ...

Springer2019

Training DNNs with Hybrid Block Floating Point

Babak Falsafi, Martin Jaggi, Tao Lin, Mario Paulo Drumond Lages De Oliveira

The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerators typically employ densely packed full-precision floating-point arithmetic t ...

2018

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Floating-point arithmetic

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Sampling sufficiency for determining hydraulic habitat diversity

Numerical and experimental investigation of shedding mechanisms from leading-edge cavitation

Nested Convex Bodies are Chaseable

Maximal fusion of facts on the web with credibility guarantee

CSL controls telomere maintenance and genome stability in human dermal fibroblasts

Training DNNs with Hybrid Block Floating Point

Graph Chatbot

Chat with Graph Search

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

Sampling sufficiency for determining hydraulic habitat diversity

Nested Convex Bodies are Chaseable

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Numerical and experimental investigation of shedding mechanisms from leading-edge cavitation

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Maximal fusion of facts on the web with credibility guarantee

Training DNNs with Hybrid Block Floating Point

CSL controls telomere maintenance and genome stability in human dermal fibroblasts