multicore

March 21, 2017

ARM to re-spin Cortex for AI and servers

ARM has pulled together a number of forthcoming changes to its Cortex processor and Big-Little cluster architectures under the umbrella title DynamIQ, claiming they will support the increasing use of AI algorithms in servers and embedded control.
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December 7, 2016

HiSilicon licenses onchip debug engine for SOCs

HiSilicon has licensed UltraSoC’s semiconductor IP to build into SoCs for system monitoring, analysis, and optimization.
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November 14, 2016

Multicore Association to update performance-estimation standard

The Multicore Association has started work on the second version of its SHIM performance-modeling standard for SoCs.
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November 9, 2016

Multicore standard works on fast communications

Work by the Multicore Association to provide a standard way for applications running on different processors to communicate with each other is leading to active implementations.
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August 15, 2016

EEMBC updates automotive benchmark for scalability tests

EEMBC has released version 2.0 of its suite for measuring the performance of automotive powertrain tasks on multicore processors.
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January 26, 2016

OpenAMP brings control to multicore SoCs

The Multicore Association has started work on standardizing a set of APIs that aim to simplify communications between processors in heterogeneous multicore SoCs
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November 11, 2015

UltraSoC adds CoreSight and Ceva debug support

UltraSoC is extending its debug support for a variety of processor cores through compatibility with ARM’s CoreSight debug system as well as support for Ceva’s DSP cores.
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September 10, 2015

Debug monitors look for deadlock

UltraSoC has added deadlock detection capabilities to its multicore onchip debug framework.
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March 26, 2015

Xmos brings programmable networking to Gigabit Ethernet

Xmos has launched a series of microcontrollers based on its timesliced multicore architecture that adds Gigabit Ethernet interfaces.
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February 9, 2015

Mentor extends industrial embedded offering

New portfolio integrates and extends existing industrial embedded tools to meet the demands of Industry 4.0

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