Publications related to M.2 | EPFL Graph Search

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Anastasia Ailamaki, Periklis Chrysogelos, Hamish Mcniece Hill Nicholson, Syed Mohammad Aunn Raza

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

2023

Time-continuous Travelling-Wave Optical Parametric Amplification in a Photonic Circuit

Tobias Kippenberg, Rui Ning Wang, Nikolai Kuznetsov, Junqiu Liu, Jijun He

We demonstrate a traveling wave parametric amplifier in a photonic Si3N4 integrated spiral waveguide of 2.0 m length with footprint 3x5 mm. We achieve net gain of 7 dB on-chip and 2 dB fiberto-fiber in the optical C-band. (C) 2022 The Author(s) ...

IEEE2022

Hardware-conscious Hash-Joins on GPUs

Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas, Manolis Karpathiotakis, Raja Appuswamy

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

IEEE2019

Pythia: Remote Oracles for the Masses

Mathias Josef Payer, Yuqing Zhang

Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...

USENIX ASSOC2019

TacTiles: Dual-Mode Low-Power Electromagnetic Actuators for Rendering Continuous Contact and Spatial Haptic Patterns in VR

Herbert Shea, Juan José Zarate, Ronan Julien Hinchet

We introduce TacTiles, light (1.8g), low-power (130 mV), and small form -factor (1cm(3)) electromagnetic actuators that can form a flexible haptic array to provide localized tactile feedback. Our novel hardware design uses a custom 8 -layer PCB, dampening ...

IEEE2019

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Yusuf Leblebici, Alessandro Fumarola

Machine Learning (ML) is an attractive application of Non-Volatile Memory (NVM) arrays [1,2]. However, achieving speedup over GPUs will require minimal neuron circuit sharing and thus highly area-efficient peripheral circuitry, so that ML reads and writes ...

2017

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Irem Boybat Kara, Severin Sidler, Carmelo Di Nolfo

In the conventional von Neumann (VN) architecture, data—both operands and operations to be performed on those operands—makes its way from memory to a dedicated central processor. With the end of Dennard scaling and the resulting slowdown in Moore’s law, th ...

Springer India2017

Neuromorphic Computing Using Non-Volatile Memory

Seyoung Kim, Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Abu Sebastian, Severin Sidler

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first review recent advances in the application of NVM devices to thre ...

Taylor & Francis Ltd2016

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M.2

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Time-continuous Travelling-Wave Optical Parametric Amplification in a Photonic Circuit

Software Support for Non-Volatile Memory (NVM) Programming

Hardware-conscious Hash-Joins on GPUs

Pythia: Remote Oracles for the Masses

TacTiles: Dual-Mode Low-Power Electromagnetic Actuators for Rendering Continuous Contact and Spatial Haptic Patterns in VR

Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

Neuromorphic Computing Using Non-Volatile Memory

Graph Chatbot

Chat with Graph Search

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing

TacTiles: Dual-Mode Low-Power Electromagnetic Actuators for Rendering Continuous Contact and Spatial Haptic Patterns in VR

Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Time-continuous Travelling-Wave Optical Parametric Amplification in a Photonic Circuit

Software Support for Non-Volatile Memory (NVM) Programming

Pythia: Remote Oracles for the Masses

Hardware-conscious Hash-Joins on GPUs

Neuromorphic Computing Using Non-Volatile Memory