A Center for Sustainable Cloud Computing

EcoCloud organizes Cloud Sustainability Days 2021

The EPFL EcoCloud Center will be organizing Cloud Sustainability Days at the SwissTech Convention Center in September, 2021. Thursday the 16th and Friday the 17th September, 2021 Click here to save to calendar This conference is organised by the EPFL EcoCloud Center...

A paradigm shift in virtual memory use: Midgard

A paradigm shift in virtual memory use: Midgard Researchers at Ecocloud, the EPFL Center for Sustainable Cloud Computing, have pioneered an innovative approach to implementing virtual memory in data centers, which will greatly increase server efficiency. Virtual...

Google Scholarship for EcoCloud researcher Simla Burcu Harma

Simla Burcu Harma, a researcher on the ColTrain project, has received the Generation Google Scholarship for Women in Computer Science. @SimlaBurcu

ColTraIn Releases Open-source HBFP Training Emulator

DNN training and inference have similar basic operators but with fundamentally different requirements. The former is throughput bound and relies on high precision floating-point arithmetic for convergence while the latter is latency-bound and tolerant to low-precision arithmetic. Both workloads require high computational capabilities and can benefit from hardware accelerators. The disparity in resource requirements forces datacenter operators to choose between custom accelerators for training and inference or training accelerators for inference.


Analytics & Applications

We are investigating new stochastic theories and analytics including statistical learning techniques, machine training and inference systems and their applications to IoT, social media and big data platforms.

Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.

Sustainable Data Centers

We are investigating a three-pronged approach to holistic data platforms and datacenter efficiency: vertical integration to minimize data-movement; specialization to optimize work per service; and approximation to tailor work for output quality.

Trustworthy Platforms & Systems

We are investigating technologies spanning from decentralized trust and cryptography to robustness and resiliency of natural processes to strengthen security, privacy and trust in data platforms and systems.


IMO Ventures
Hewlett Packard