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Adapteva
A 1024-Core 70GFLOPS/W Floating Point Manycore Microprocessor
Comparison of 116 Open Spec, Hacker Friendly Single Board Computers -- June 2018
Survey and Benchmarking of Machine Learning Accelerators
SPORK: a Summarization Pipeline for Online Repositories of Knowledge
Master's Thesis: Adaptive Core Assignment for Adapteva Epiphany
Program & Exhibits Guide
Proyecto Fin De Grado
Experiences Using Tegra K1 and X1 for Highly Energy Efficient Computing
AI-Optimized Chipsets
November 2–5, 2014 Asilomar Hotel and Conference Grounds
Electronics Tinkering Books
Analysis of Task Scheduling for Multi-Core Embedded Systems
Cloud Computing Principles, Systems and Applications.Pdf
Nmi Yearbook 2014
A Dedicated Server Design for Physical Web Applications
Technology Trends Towards 6G Dr Alain Mourad 6GIC – University of Surrey (UK) 05 February 2021
Teaching HPC Systems and Parallel Programming with Small Scale Clusters of Embedded Socs
Design, Construction, and Use of a Single Board Computer Beowulf Cluster: Application of the Small- Footprint, Low-Cost, Insignal 5420 Octa Board
Top View
Parallella Reference Manual 13.11.25 (PRELIMINARY, for REVIEW PURPOSES ONLY!)
A SDN Solution for System-On-Chip World
Reconciling Performance and Predictability on a Noc-Based Mpsoc Using Off-Line Scheduling Techniques Manel Fakhfakh
Open-Source SDR on Embedded Platforms
Flops, Less Watts. Epiphany Offers Floating-Point
The Micro-Cluster Showcase: 7 Inexpensive Beowulf Clusters for Teaching PDC
Epython: an Implementation of Python for the Many-Core Epiphany Coprocessor Nick Brown EPCC James Clerk Maxwell Building Edinburgh
[email protected]
Epiphany-V: a 1024 Processor 64-Bit RISC System-On-Chip
A Case for Embedded FPGA-Based Socs in Energy-Efficient
The Good, the Bad, the Ugly of Semiconductor Crowd Funding
Programming the Adapteva Epiphany 64-Core Network-On-Chip Coprocessor
A Dataflow Communications Library for Adapteva's Epiphany
Single Board PC Computers Under $100 Subra Ganesan Professor Oakland University Agenda
Abstract of “Improving Performance, Energy-Efficiency and Error
Epiphany SDK Reference
AI Accelerator
Implementing Software Defined Radio on the Parallella
A $99 Open Hardware Parallel Computing Platform Andreas Olofsson
[email protected]