OTA On-Chip Computing That Conquers A Bottleneck In Wired NoC Architectures


New research paper titled "Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing" from researchers at IBM Research, Zurich Switzerland and Universitat Politecnica de Catalunya, Barcelona, Spain Abstract: "Hyperdimensional computing (HDC) is an emerging computing paradigm that represents, manipulates, and communicates data using very long random vectors (aka hyp... » read more

Deep Reinforcement Learning to Dynamically Configure NoC Resources


New research paper titled "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems" from Md Farhadur Reza at Eastern Illinois University. Find the open access technical paper here. Published June 2022. M. F. Reza, "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energ... » read more

Optimizing NoC-Based Designs


Semiconductor development is currently in a phase of rapid evolution driven by the combination of new technologies and methodologies. The technique of combining multiple functions into systems-on-chips (SoCs) is continuing to grow in complexity. Rapid advancement in new technologies for market segments like data centers, robotics, ADAS and artificial intelligence/machine learning (AI/ML) are re... » read more

AI-Based Method to Prune the Design Space of Heterogeneous NoCs


Abstract "Often suffering from under-optimization, Networks-on-Chip (NoCs) heavily impact the efficiency of domain-specific Systems-on-Chip. To cope with this issue, heterogeneous NoCs are promising alternatives. Nevertheless, the design of optimized NoCs satisfying multiple performance objectives is extremely challenging and requires significant expertise. Prior works failed to combine many... » read more

Data Security Challenges In Automotive


Automakers are scrambling to prevent security breaches and data hacks in new vehicles while simultaneously adding new and increasingly autonomous features into vehicles that can open the door to new vulnerabilities. These two goals are often at odds. As with security in any complex system, nothing is ever completely secure. But even getting a handle on this multilayered issue is a challenge.... » read more

Adaptive Scheduling for Time-Triggered Network-on-Chip-Based Multi-Core Architecture Using Genetic Algorithm


Abstract "Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery, and changing environmental conditions. Adaptation in time-triggered systems is achieved by preserving temporal predictability through metascheduling techniques. Nevertheless, utilising existing metascheduling schemes for time-triggered network-on-chip architectures poses design time computatio... » read more

End-To-End Traceability


Despite standards such as ISO 26262 and IEC 61508, there are still disconnects and gaps in the supply chain and design-through-manufacturing flows. Kurt Shuler, vice president of marketing at Arteris IP, digs into what's missing, why changes made in one area are not reflected in other areas and throughout the product lifecycle, and why various different phases of the flow don't always match up ... » read more

What Is An xPU?


Almost every day there is an announcement about a new processor architecture, and it is given a three-letter acronym — TPU, IPU, NPU. But what really distinguishes them? Are there really that many unique processor architectures, or is something else happening? In 2018, John L. Hennessy and David A. Patterson delivered the Turing lecture entitled, "A New Golden Age for Computer Architecture... » read more

More NoC Wisdom


A common experience for anyone promoting a disruptive technology is that prospective customers understand that what is being offered is different. Still, without a familiar reference to compare, they extrapolate expectations unreliably. Sometimes expectations are extrapolated to infinity: “My existing solution has limitations, but the new technology should have no limitations.” Sometimes ex... » read more

Using Machine Learning For Characterizations Of NoC Components


Modern NoC (Network-on-Chip) is built of complex functional blocks, such as packet switches and protocol converters. PPA (performance/power/area) estimates for these components are highly desirable during early design phases – long before NoC gate level netlist is synthesized. At this stage a NoC component is a soft module, described by a set of architectural parameters, like the bit width of... » read more

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