The exanest project: Interconnects, storage, and packaging for exascale systems
ExaNest is one of three European projects that support a ground-breaking computing
architecture for exascale-class systems built upon power-efficient 64-bit ARM processors …
architecture for exascale-class systems built upon power-efficient 64-bit ARM processors …
A hardware/software stack for heterogeneous systems
J Castrillon, M Lieber, S Klüppelholz… - … on Multi-Scale …, 2017 - ieeexplore.ieee.org
Plenty of novel emerging technologies are being proposed and evaluated today, mostly at
the device and circuit levels. It is unclear what the impact of different new technologies at the …
the device and circuit levels. It is unclear what the impact of different new technologies at the …
Next generation of exascale-class systems: Exanest project and the status of its interconnect and storage development
The ExaNeSt project started on December 2015 and is funded by EU H2020 research
framework (call H2020-FETHPC-2014, n. 671553) to study the adoption of low-cost, Linux …
framework (call H2020-FETHPC-2014, n. 671553) to study the adoption of low-cost, Linux …
[HTML][HTML] Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
Cortical synapse organization supports a range of dynamic states on multiple spatial and
temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or …
temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or …
Power‐Efficient Computing: Experiences from the COSA Project
D Cesini, E Corni, A Falabella, A Ferraro… - Scientific …, 2017 - Wiley Online Library
Energy consumption is today one of the most relevant issues in operating HPC systems for
scientific applications. The use of unconventional computing systems is therefore of great …
scientific applications. The use of unconventional computing systems is therefore of great …
Gaussian and exponential lateral connectivity on distributed spiking neural network simulation
We measured the impact of long-range exponentially decaying intra-areal lateral
connectivity on the scaling and memory occupation of a distributed spiking neural network …
connectivity on the scaling and memory occupation of a distributed spiking neural network …
An OpenCL software compilation framework targeting an SoC-FPGA VLIW chip multiprocessor
SJ Parker, VA Chouliaras - Journal of Systems Architecture, 2016 - Elsevier
Modern systems-on-chip augment their baseline CPU with coprocessors and accelerators to
increase overall computational capability and power efficiency, and thus have evolved into …
increase overall computational capability and power efficiency, and thus have evolved into …
Smart condition based maintenance (S-CBM) for a fleet of mobile entities
A Fadil, J Clarhaut, G Branger, D Trentesaux - Service Orientation in …, 2017 - Springer
In a highly competitive market, the dynamic maintenance of mobile entities in the field of
transportation systems is a major research field, in which maintainability, availability …
transportation systems is a major research field, in which maintainability, availability …
Real-time cortical simulations: energy and interconnect scaling on distributed systems
We profile the impact of computation and inter-processor communication on the energy
consumption and on the scaling of cortical simulations approaching the real-time regime on …
consumption and on the scaling of cortical simulations approaching the real-time regime on …
The brain on low power architectures-efficient simulation of cortical slow waves and asynchronous states
Efficient brain simulation is a scientific grand challenge, a parallel/distributed coding
challenge and a source of requirements and suggestions for future computing architectures …
challenge and a source of requirements and suggestions for future computing architectures …