F3S: Free Flow Fever Screening

In 4th International Workshop on EdgeDL: Deep Learning on Edge for Smart Health and Wellbeing Applications (EdgeDL 2021) - Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2021) Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening … Continue reading F3S: Free Flow Fever Screening

ECO: Edge-Cloud Optimization of 5G applications

In The 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021), Melbourne, Victoria, Australia Centralized cloud computing with 100+ milliseconds network latencies cannot meet the tens of milliseconds to sub- millisecond response times required for emerging 5G applications like autonomous driving, smart manufacturing, tactile internet, and augmented or virtual reality. We describe … Continue reading ECO: Edge-Cloud Optimization of 5G applications

First step of my journey for rediscovering the straight path (aka I’m using again GNU Emacs after many years)

"... mi ritrovai per una selva oscura, ché la diritta via era smarrita ..." (Divina Commedia - Canto I) Like Dante in his allegoric journey, I (also) "found myself deep in a darkened forest, for I had lost all trace of the straight path" in the computing world. The "darkened forest" in which I found … Continue reading First step of my journey for rediscovering the straight path (aka I’m using again GNU Emacs after many years)

A Coprocessor Sharing-Aware Scheduler for Xeon Phi-Based Compute Clusters

In Parallel and Distributed Processing Symposium, 2014 IEEE 28th International We propose a cluster scheduling technique for compute clusters with Xeon Phi coprocessors. Even though the Xeon Phi runs Linux which allows multiprocessing, cluster schedulers generally do not allow jobs to share coprocessors because sharing can cause oversubscription of coprocessor memory and thread resources. It … Continue reading A Coprocessor Sharing-Aware Scheduler for Xeon Phi-Based Compute Clusters

Snapify: capturing snapshots of offload applications on Xeon Phi manycore processors

In Proceedings of the 23nd international symposium on High-performance parallel and distributed computing (HPDC ’14). ACM, New York, NY, USA, 1-12. Intel Xeon Phi coprocessors provide excellent performance acceleration for highly parallel applications and have been deployed in several top-ranking supercomputers. One popular approach of programming the Xeon Phi is the offload model, where parallel … Continue reading Snapify: capturing snapshots of offload applications on Xeon Phi manycore processors