Category: memory
Cooling down hotspots – 3D-ICE
3D chips are a great idea – processors placed one on top of the other, for a superfast transmission of data. The trouble is that chips heat up, and if you pile them up they heat up even faster. 3D-ICE is a powerful thermal emulator for three-dimensional computing. Version 3.1 is presented in a new (…)
Innovations using analog in memory cores
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
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) (…)
X-HEEP community is growing fast: X-Agora at EPFL
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 (…)
Heating Bits – an EPFL collaboration
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
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:
HDTorch: an accelerator for HyperDimensional Computing
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) (…)
Intel funds EcoCloud Midgard-based research
An exciting new development in the progress of Midgard, a novel re-envisioning of the virtual memory abstraction ubiquitous to computer systems, sees a tech leader funding research that will bring together experts from Yale, the University of Edinburgh and EcoCloud at EPFL. Global semiconductor manufacturer Intel is sponsoring an EcoCloud-led project entitled “Virtual Memory for (…)
More computing, less energy
Today’s data centres have an efficiency problem – much of their energy is used not to process data, but to keep the servers cool. A new server architecture under development by the EU-funded COMPUSAPIEN project could solve this. © cherezoff / Adobe Stock As the digital revolution continues to accelerate, so too does our demand (…)