Catégorie
Parallélisme (informatique)
Publications associées (1 000)
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics
Anastasia Ailamaki, Viktor Sanca
As modern data pipelines continue to collect, produce, and store a variety of data formats, extracting and combining value from traditional and context-rich sources such as strings, text, video, audio, and logs becomes a manual process where such formats a ...
2023Hardware-Software co-design Methodologies for Edge AI Optimization
ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...
EPFL2023QuNex-An integrative platform for reproducible neuroimaging analytics
IntroductionNeuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challenges in ...
FRONTIERS MEDIA SA2023Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers
Data-intensive systems are the backbone of today's computing and are responsible for shaping data centers. Over the years, cloud providers have relied on three principles to maintain cost-effective data systems: use disaggregation to decouple scaling, use ...
New York2023DChannel: Accelerating Mobile ApplicationsWith Parallel High-bandwidth and Low-latency Channels
Interactive mobile applications like web browsing and gaming are known to benefit significantly from low latency networking, as applications communicate with cloud servers and other users' devices. Emerging mobile channel standards have not met these needs ...
USENIX ASSOC2023SecureCells: A Secure Compartmentalized Architecture
Babak Falsafi, Mathias Josef Payer, Yuanlong Li, Florian Hofhammer, Siddharth Gupta, Atri Bhattacharyya, Andrés Sánchez Marín
Modern programs are monolithic, combining code of varied provenance without isolation, all the while running on network-connected devices. A vulnerability in any component may compromise code and data of all other components. Compartmentalization separates ...
2023Massively parallel, real-time multispeckle diffuse correlation spectroscopy using a 500 × 500 SPAD camera
Edoardo Charbon, Claudio Bruschini, Andrei Ardelean, Paul Mos, Arin Can Ülkü, Francesco Marsili, Michael Alan Wayne
Diffuse correlation spectroscopy (DCS) is a promising noninvasive technique for monitoring cerebral blood flow and measuring cortex functional activation tasks. Taking multiple parallel measurements has been shown to increase sensitivity, but is not easily ...
2023Brain microstructural and functional MRI: developments and application to a rat model of Alzheimer's disease
Magnetic resonance imaging (MRI) has been a valuable tool in investigating the pathological cascade of Alzheimer's disease (AD) and its progression, which are still open questions. Although some MRI-derived hallmarks in terms of functional connectivity and ...
EPFL2023Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment
Florent Gérard Krzakala, Julien Marcel Daniel Emmanuel Launay
Artificial Neural Networks (ANN) are habitually trained via the back-propagation (BP) algorithm. This approach has been extremely successful: Current models like GPT-3 have O(10 11 ) parameters, are trained on O(10 11 ) words and produce awe-inspiring resu ...
IEEE2023WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches
Mathias Josef Payer, Flavio Toffalini, Luca Di Bartolomeo, Jianhao Xu
Code-reuse attacks are dangerous threats that attracted the attention of the security community for years. These attacks aim at corrupting important control-flow transfers for taking control of a process without injecting code. Nowadays, the combinations o ...
IEEE COMPUTER SOC2023