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View article: Accelerating NTT with RISC-V Vector Extension for Fully Homomorphic Encryption
Accelerating NTT with RISC-V Vector Extension for Fully Homomorphic Encryption Open
Fully Homomorphic Encryption (FHE) has gained increasing importance mainly due to its potential use in privacy-preserving cloud computing. This privacy stems from the computation being directly performed on data that is encrypted by the cl…
View article: Back-end DAQ system prototype testing and integration on a full detector test system for the CMS HGCAL detector
Back-end DAQ system prototype testing and integration on a full detector test system for the CMS HGCAL detector Open
The CMS Collaboration will replace its current endcap calorimeters with the new high granularity calorimeter (HGCAL) for operations at the HL-LHC. The HGCAL back-end DAQ (Data Acquisition) system comprises 96 FPGA-based ATCA (Advanced Tele…
View article: NDPmulator: Enabling Full-System Simulation for Near-Data Accelerators From Caches to DRAM
NDPmulator: Enabling Full-System Simulation for Near-Data Accelerators From Caches to DRAM Open
The accurate simulation and performance assessment of Near-Data Accelerators (NDAccs) is a complex challenge as it must consider the operation of the entire processing system, the impact of the Operating System (OS) overheads, and the memo…
View article: Abstracts
Abstracts Open
Introduction:The nociception induced during surgical procedures may be related to the development of complications such as chronic pain.The use of regional anesthesia is effective in nociception reduction.The quadratus lumborum block is an…
View article: Early prototyping and testing of CERN LHC CMS high-granularity calorimeter slow-control system
Early prototyping and testing of CERN LHC CMS high-granularity calorimeter slow-control system Open
The Compact Muon Solenoid (CMS) high-granularity calorimeter (HGCAL) upgrade for CERN's Large Hadron Collider (LHC) high-luminosity phase is a detector with more than 6 million channels that will provide precise sensing and measurement of …
View article: FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction Open
Sequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks. However, it is challenging to correctly serialize tokens in form-like documents in practice due to their variety of layou…
View article: Supporting RISC-V Performance Counters through Performance analysis tools for Linux (Perf)
Supporting RISC-V Performance Counters through Performance analysis tools for Linux (Perf) Open
Increased attention to RISC-V in Cloud, Data Center, Automotive and Networking applications, has been fueling the move of RISC-V to the high-performance computing scenario. However, lack of powerful performance monitoring tools will result…
View article: Positnn: Training Deep Neural Networks with Mixed Low-Precision Posit
Positnn: Training Deep Neural Networks with Mixed Low-Precision Posit Open
Low-precision formats have proven to be an efficient way to reduce not only the memory footprint but also the hardware resources and power consumption of deep learning computations. Under this premise, the posit numerical format appears to…
View article: GPU Static Modeling Using PTX and Deep Structured Learning
GPU Static Modeling Using PTX and Deep Structured Learning Open
In the quest for exascale computing, energy-efficiency is a fundamental goal in high-performance computing systems, typically achieved via dynamic voltage and frequency scaling (DVFS). However, this type of mechanism relies on having accur…
View article: A Framework for Application-Guided Task Management on Heterogeneous Embedded Systems
A Framework for Application-Guided Task Management on Heterogeneous Embedded Systems Open
In this article, we propose a general framework for fine-grain application-aware task management in heterogeneous embedded platforms, which allows integration of different mechanisms for an efficient resource utilization, frequency scaling…