Concept
Heterogeneous System Architecture
Related publications (64)
Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Qunyou Liu
The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...
2024HEEPocrates: An Ultra-Low-Power RISC-V Microcontroller for Edge-Computing Healthcare Applications
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Miguel Peon Quiros, Simone Machetti, Pasquale Davide Schiavone
The field of edge computing in healthcare has seen remarkable growth due to the increasing demand for real-time processing of data in applications. However, challenges persist due to limitations in healthcare devices' performance and power efficiency. To o ...
Europractice2024Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications
Joshua Alexander Harrison Klein
The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...
EPFL2024Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms
Aurélien François Gilbert Bloch
Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...
EPFL2023Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System
Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch
Dataflow programming is a methodology that enables the development of high-level, parametric programs that are independent of the underlying platform. This approach is particularly useful for heterogeneous platforms, as it eliminates the need to rewrite ap ...
SPRINGER2023Chaosity: Understanding Contemporary NUMA-architectures
Anastasia Ailamaki, Viktor Sanca, Hamish Mcniece Hill Nicholson, Andreea Nica, Syed Mohammad Aunn Raza
Modern hardware is increasingly complex, requiring increasing effort to understand in order to carefully engineer systems for optimal performance and effective utilization. Moreover, established design principles and assumptions are not portable to modern ...
2023Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems
David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger
Embedded systems confront two opposite goals: low-power operation and high performance. The current trend to reach these goals is toward heterogeneous platforms, including multi-core architectures with heterogeneous cores and hardware accelerators. The lat ...
2023Real-Time Localization for Closed-Loop Control of Assistive Furniture
Auke Ijspeert, Alexandre Massoud Alahi, Lixuan Tang, Anastasia Bolotnikova, Chuanfang Ning, George Adaimi
For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems
The miniaturization of integrated circuits (ICs) and their higher performance and energy efficiency, combined with new machine learning algorithms and applications, have paved the way to intelligent, interconnected edge devices. In the medical domain, they ...
EPFL2023MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL
Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Ioannis Magkanaris
Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...
ACM2023