Concept
Instruction set architecture
Publications associées (219)
Attention-based domain adaptation for single-stage detectors
While domain adaptation has been used to improve the performance of object detectors when the training and test data follow different distributions, previous work has mostly focused on two-stage detectors. This is because their use of region proposals make ...
SPRINGER2022Micro BTB: A High Performance and Storage Efficient Last-Level Branch Target Buffer for Servers
High-performance branch target buffers (BTBs) and the L1I cache are key to high-performance front-end. Modern branch predictors are highly accurate, but with an increase in code footprint in modern-day server workloads, BTB and L1I misses are still frequen ...
ASSOC COMPUTING MACHINERY2022WR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices
David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger
Edge-computing requires high-performance energy-efficient embedded systems. Fixed-function or custom accelerators, such as FFT or FIR filter engines, are very efficient at implementing a particular functionality for a given set of constraints. However, the ...
2022Electrical-Level Attacks on CPUs, FPGAs, and GPUs: Survey and Implications in the Heterogeneous Era
Mirjana Stojilovic, Dina Gamaleldin Ahmed Shawky Mahmoud
Given the need for efficient high-performance computing, computer architectures combining CPUs, GPUs, and FPGAs are nowadays prevalent. However, each of these components suffers from electrical-level security risks. Moving to heterogeneous systems, with th ...
2022ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
David Atienza Alonso, Marina Zapater Sancho, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Irem Boybat Kara, Yasir Mahmood Qureshi, Joshua Alexander Harrison Klein, Abu Sebastian
Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these applications’ run-time. ...
2022Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems
This thesis presents an efficient and extensible numerical software framework for real-time model-based control. We are motivated by complex and challenging mechatronic applications spanning from flight control of fixed-wing aircraft and thrust vector cont ...
EPFL2022A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers
Alcherio Martinoli, Cyrill Silvan Baumann
The automatic design of well-performing robotic controllers is still an unsolved problem due to the inherently large parameter space and noisy, often hard-to-define performance metrics, especially when sequential tasks need to be accomplished. Distal contr ...
2022Design and automated fabrication scenario for a wood shingle-based envelope system
The building cultures of regions where plant resources abound show the adaptation of these local bio-based materials to the roofing of buildings: thatch, reed, bark or shingles. Despite a low environmental impact, these techniques require skilled manual wo ...
2021Micro-architectural Analysis of Database Workloads
Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...
EPFL2021Software Support for Non-Volatile Memory (NVM) Programming
Non-Volatile Memory (NVM) is an emerging type of memory device that provides fast, byte-addressable, and high-capacity durable storage. NVM sits on the memory bus and allows durable data structures designs similar to the in-memory equivalent ones. Expensiv ...
EPFL2021