Development of system simulator for automated exploration of open-hardware CGRA architectures


Central Processing Units (CPUs) have been the core processing engine on platforms for embedded computing for decades, due to their low cost and high flexibility. However, CPUs are slower and less energy-efficient compared to more specialized options such as FPGAs or ASICs. Such downsides are particularly challenging for highly demanding workloads, such as the ones (…)

The second X-Agora is a great success

internetofthings, research, wearable

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Best Poster award for Epilsepsy Monitoring Framework

achievements, biomedical, health, research

Dr Jonathan Dan has received the a Best Paper Award at Data Science for the Sciences (DS4S), a conference organized by the Swiss Data Science Center (SDSC) and the University of Bern (UniBE). SzCORE is a framework for the validation of epileptic seizure detection algorithms, another step forward in the ongoing research carried out at (…)

David Atienza appointed ACM CSUR Editor-in-Chief


David Atienza, head of the Embedded Systems Lab in the School of Engineering, has been named Editor-in-Chief of the journal Computing Surveys (CSUR) of the Association for Computing Machinery (ACM). CSUR is a peer-reviewed journal that publishes surveys of and tutorials on areas of computing research or practice. With an impact factor of 16.6, it (…)

HEEPocrates featured in EUROPRACTICE report

achievements, biomedical, internetofthings, research, wearable

An article on the HEEPocrates chip has been published in the EUROPRACTICE Activity Report 2023. EUROPRACTICE was launched by the European Commission in 1995 as a successor of EUROCHIP (1989-1995) to enhance European industrial competitiveness in the global market. A detailed breakdown of the chip and its component processes and features is presented in the (…)

School of Engineering award for Lara Orlandic


Lara Orlandic of the Embedded Systems Lab has been awarded the School of Engineering’s Teaching Assistant Award. Lara was the head teaching assistant for the Machine Learning course. It is one of the largest Master’s courses at EPFL, with over 500 students. She managed a team of 26 Teaching Assistants to coordinate lab exercise teaching, (…)

Predicting the future with CloudProphet

memory, research, servers

If we are going to reduce the carbon footprint of data centers we need to use computing resources more efficiently. If processes always made use of data center facilities in a regular way, it would be an easy game. However, the resources of a data center are used by customers (more often customers of customers) (…)

Digipredict: what is a digital twin?

biomedical, carouselvideo, health, internetofthings, presentationvideo, research, wearable

X-HEEP community is growing fast: X-Agora at EPFL

achievements, internetofthings, memory, research, wearable

The Internet of Things is expanding at an incredible rate, and consequently demands for ever smaller intelligent hardware are constantly increasing. The Embedded Systems Lab has collaborated with other EPFL teams and EcoCloud to design X-HEEP: a RISC-V chip which is aimed at tiny platforms with big jobs to do. The X-HEEP platform is open (…)

FPGA Emulation Framework Enhancement for X-HEEP


In the realm of wearable healthcare devices, a sophisticated co-design approach that seamlessly integrates hardware and software components is essential to meet their stringent energy, area, and timing constraints. Prototyping tools play a pivotal role in this collaborative process, enabling engineers to iteratively test and optimize both the hardware and software functionalities of these devices. (…)