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Related publications (31)

Computational pipeline to probe NaV1.7 gain-of-function variants in neuropathic painful syndromes

Stefano Zamuner, Margherita Marchi

Applications of machine learning and graph theory techniques to neuroscience have witnessed an increased interest in the last decade due to the large data availability and unprecedented technology developments. Their employment to investigate the effect of ...

NATURE RESEARCH2020

A high-content image-based drug screen of clinical compounds against cell transmission of adenovirus

Gerardo Turcatti, Fabien Kuttler

Human adenoviruses (HAdVs) are fatal to immuno-suppressed individuals, but no effective anti-HAdV therapy is available. Here, we present a novel image-based high-throughput screening (HTS) platform, which scores the full viral replication cycle from virus ...

2020

Minimum Energy Point in Constant Frequency Designs under Adaptive Supply Voltage and Body Bias Adjustment in 55 nm DDC

Andreas Peter Burg, David Ruffieux

In this paper, we describe a systematic low-power design methodology for technologies that offer a strong body factor. Specifically, we explore both the body bias voltage and the supply voltage knobs in order to find the MEP (minimum energy point) for a co ...

IEEE2019

FPGA-Assisted Deterministic Routing for FPGAs

Mirjana Stojilovic, Dario Korolija

FPGA routing is one of the most time-consuming steps of FPGA compilation, often preventing fast edit-compile-test cycles in prototyping and development. There have been attempts to accelerate FPGA routing using algorithmic improvements, multi-core or multi ...

2019

Improving Main-memory Database System Performance through Cooperative Multitasking

Georgios Psaropoulos

Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...

EPFL2019

Semantic Model-Driven PLM Data Interoperability: An Application for Aircraft Ground Functional Testing with Eco-Design Criteria

Dimitrios Kyritsis, Damiano Nunzio Arena

The latest developments in Model-Based Systems Engineering (MBSE) and Product Life-Cycle Management (PLM) are playing a role in the evolution of the aeronautical industry. Despite the reluctance of this domain to accept the introduction of technology leaps ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Efficient Dynamic Optimisation Heuristics for Dataflow Pipelines

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Anatoly Prihozhy

Large dataflow designs appear as a result of functional specification of modern complex digital systems and/ or a result of unfolding and behavioral transformation of looped and branched programs. Since deep-submicron silicon technology provides large amou ...

IEEE2018

LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching

Babak Falsafi, Mario Paulo Drumond Lages De Oliveira, Hamid Sarbazi-Azad, Seyed Borna Ehsani

Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high power consumption, ...

2018

ESTIMA: Extrapolating ScalabiliTy of In-Memory Applications

Rachid Guerraoui, Aleksandar Dragojevic, Georgios Chatzopoulos

This article presents ESTIMA, an easy-to-use tool for extrapolating the scalability of in-memory applications. ESTIMA is designed to perform a simple yet important task: Given the performance of an application on a small machine with a handful of cores, ES ...

2017

Near-Memory Address Translation

Javier Picorel Obando

Virtual memory (VM) is a crucial abstraction in modern computer systems at any scale, from handheld devices to datacenters. VM provides programmers the illusion of an always sufficiently large and linear memory, making programming easier. Although the core ...

EPFL2017

ESTIMA: Extrapolating ScalabiliTy of In-Memory Applications

Rachid Guerraoui, Aleksandar Dragojevic, Georgios Chatzopoulos

This paper presents ESTIMA, an easy-to-use tool for extrapolating the scalability of in-memory applications. ESTIMA is designed to perform a simple, yet important task: given the performance of an application on a small machine with a handful of cores, EST ...

ACM Press2016

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