132 citations
- Intel (United States)US16 papers
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- University of Illinois Urbana-ChampaignUS4 papers
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7 papers · 1 filter
Seeds of SEED: A Side-Channel Resilient Cache Skewed by a Linear Function over a Galois Field
Scott Constable, Thomas Unterluggauer
Consider a set-associative cache with sets and ways where is prime and . Furthermore, assume that the cache may be shared among mutually distrusting prin…
OpenFL: An open-source framework for Federated Learning
G Anthony Reina, Alexey Gruzdev, Patrick Foley +15
Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) projects without sharing sensitive data, such as, patient rec…
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Saba Dadsetan, David Pichler, David Wilson +2
Advances in remote sensing technology have led to the capture of massive amounts of data. Increased image resolution, more frequent revisit times, and additional spectral channels…
pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables
João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna +8
Data movement between the main memory and the processor is a key contributor to execution time and energy consumption in memory-intensive applications. This data movement bottlenec…
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads
Evangelos Georganas, Dhiraj Kalamkar, Sasikanth Avancha +16
During the past decade, novel Deep Learning (DL) algorithms, workloads and hardware have been developed to tackle a wide range of problems. Despite the advances in workload and har…
Managing smartphone crowdsensing campaigns through the Organicity smart city platform
Dimitrios Amaxilatis, Evangelos Lagoudianakis, Georgios Mylonas +1
We briefly present the design and architecture of a system that aims to simplify the process of organizing, executing and administering crowdsensing campaigns in a smart city conte…