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John Goodacre

Researcher at University of Manchester

Publications -  44
Citations -  489

John Goodacre is an academic researcher from University of Manchester. The author has contributed to research in topics: Scalability & Cloud computing. The author has an hindex of 10, co-authored 43 publications receiving 444 citations.

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Journal ArticleDOI

Parallelism and the ARM instruction set architecture

John Goodacre, +1 more
- 01 Jul 2005 - 
TL;DR: The ARM reduced-instruction-set computing (RISC) processor has evolved to offer a family of chips that range up to a full-blown multiprocessor, and new chip designs could change how people access technology.
Proceedings ArticleDOI

The ExaNeSt Project: Interconnects, Storage, and Packaging for Exascale Systems

TL;DR: This work designs and implements a physical rack prototype and its liquid-cooling subsystem providing ultra-dense compute packaging, a storage architecture with distributed (in-node) non-volatile memory (NVM) devices, and a unified, low-latency interconnect, designed to efficiently uphold desired Quality-of-Service guarantees.
Proceedings ArticleDOI

EUROSERVER: Energy Efficient Node for European Micro-Servers

TL;DR: The EUROSERVER device will embed multiple silicon "chiplets" on an active silicon interposer, which is pioneering a system architecture approach that allows specialized silicon devices to be built even for low-volume markets where NRE costs are currently prohibitive.
Proceedings ArticleDOI

ARM MPCore; The streamlined and scalable ARM11 processor core

K. Hirata, +1 more
TL;DR: The required processing performance of embedded processor core is getting higher and higher without increasing power consumption dramatically, and large SoC design has more risk of re-spin and long design time due to the complexity and difficulty of verification.
Proceedings ArticleDOI

ECOSCALE: Reconfigurable computing and runtime system for future exascale systems

TL;DR: ECOSCALE introduces a novel heterogeneous energy-efficient hierarchical architecture, as well as a hybrid many-core+OpenCL programming environment and runtime system, aiming to substantially reduce energy consumption aswell as data traffic and latency.