Category: servers

ClearSpace will use Minority Report technology from ESL

memory, research, servers

Satellites are open to attack. All communications systems are vulnerable to hackers by definition, and are protected accordingly, with hardware and software. However, because they reside outside the protection of the Earth’s atmosphere, satellites are perhaps exposed to the mightiest and most unpredictable hacker of all: the Sun. “The Sun’s radiation can affect the data (…)

Innovations using analog in memory cores

memory, research, servers

A new article has been published showcasing exciting innovations, using AIMC (Analog in memory cores). Recent ESL alumnus Josh Klein, EPFL alumnus Irem Boybat, current ESL senior scientist Giovanni Ansaloni and ESL host professor Marina Zapater collaborated to prepare this exciting new paper, which is published in IEEE Transactions on Parallel and Distributed Systems. The (…)

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) (…)

Heating Bits – an EPFL collaboration

memory, research, servers, thermalaware

Five labs are collaborating on Heating Bits, an initiative to get ultimate levels of control over our data centers. Prof. Mario Paolone spoke to EcoCloud in detail about this exciting initiative.

Flavio Ponzina presents paper on edge AI acceleration at Embedded Systems Week

achievements, internetofthings, memory, presentationvideo, research, servers

Dr Flavio Ponzina, who recently defended his PhD thesis on Hardware-Software co-design Methodologies for Edge AI Optimization, presented a paper entitled “Overflow-free compute memories for edge AI acceleration” at Embedded Systems Week, which took place in Hamburg. The video of his presentation is below: 

David Atienza interviewed on the future of data centers

research, servers

Prof.  David Atienza explained to HiPEAC why sustainable computing represents much more than just energy efficiency, and argues that a much more targeted use of computing is the way forward: We need to dramatically change the way we build and use computers

Talk on monitoring and managing data centers with IoT

internetofthings, presentationvideo, research, servers

Prof. David Atienza gave a talk at the Intelligent Maintenance Conference which was held at EPFL in September. Prof. David Atienza examined the inefficient monitoring and management of data centers, and how they can impact both energy costs for the sustainability of our planet and the reliability of data center services. In this talk he (…)

Containergy: a new tool for next generation workload management

research, servers

ESL is proud to present Containergy, a new performance evaluation and profiling tool that uses software containers to perform application runtime assessment, providing energy and performance profiling data. It is focused on energy efficiency for next generation workloads and IT infrastructure. Read more here

HDTorch: an accelerator for HyperDimensional Computing

memory, research, servers

HyperDimensional computing is increasingly used for machine learning applications. Computing with HD vectors, referred to as “hypervectors,” offers a general and scalable model of computing as well as a well-defined set of arithmetic operations that can enable fast and one-shot learning (no need of back-propagation like in neural networks). HDTorch is a PyTorch-based hyperdimensional (HD) (…)

David Atienza chairs 10th EcoCloud Conference at Lausanne Palace

research, servers, thermalaware

As Director of EcoCloud, Prof. Atienza presided over the 10th annual conference at Lausanne Palace, which was a hugely succesful event. After the end of CoVid restrictions it was wonderful to have over 140 participants, discussing issues such as: sustainable smart cities, transport systems and agriculture, energy-constrained and sustainable deep learning, energy-constrained trustworthy and computing (…)