Category: memory

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 (…)

Running efficiently CNNs on the Edge thanks to Hybrid SRAM-RRAM in-Memory Computing

Joshua Klein: Hands-on with gem5-X and RISC-V

Part One: Part Two:

Alex Levisse: Enhancing caches with emerging technologies and architectures

Marina Zapater – What is Gem5-X?

ISVLSI 2020 Best Paper Award!

Congratulations to Halima Najibi, Alexandre Levisse, Marina Zapater and David Atienza for winning a best paper award at the IEEE Computer Society Annual Symposium on VLSI. The online presentation: The entire award ceremony: