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More Data Drives Focus On IC Energy Efficiency


Computing workloads are becoming increasingly interdependent, raising the complexity level for chip architects as they work out exactly where that computing should be done and how to optimize it for shrinking energy margins. At a fundamental level, there is now more data to compute and more urgency in getting results. This situation has forced a rethinking of how much data should be moved, w... » read more

Using Cliosoft SOS Design Management Platform In The Cloud


In this eBook, we will talk about the various scenarios for how designers can leverage Cliosoft’s SoC design management platform in the cloud (Amazon Web Services and Google Cloud Platform) to successfully tapeout their SoCs. Click here to access the eBook. » read more

Cloud Vs. On-Premise Analytics


The immense and growing volume of data generated in chip manufacturing is forcing chipmakers to rethink where to process and store that data. For fabs and OSATs, this decision is not one to be taken lightly. The proprietary nature of yield, performance, and other data, and corporate policies to retain tight control of that data, have so far limited outsourcing to the cloud. But as the amount... » read more

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud


SOURCE: Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang(Tsinghua University, Beijing, China).  Published on arXiv:2003.12101 [cs.DC])   ABSTRACT: "FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accel... » read more

Virtualizing FPGAs For Multiple Cloud Users


Cloud computing has become the new computing paradigm. For cloud computing, virtualization is necessary to enable isolation between users, high flexibility and scalability, high security, and maximized utilization of hardware resources. Since 2017, because of the advantages of programmability, low latency, and high energy efficiency, FPGA has been widely adopted into cloud computing. Amazon ... » read more

Challenges Of Using The Cloud For IC Design


The ‘cloud’ is so ubiquitous that perhaps even your grandmother has heard about it. There are advertisements on TV with various vendors touting their cloud offerings. The cloud is ideal for eCommerce and SaaS (Software as a Service) offerings, as the elasticity on demand provides a convenient way to scale up when demand is high and scale down when it is low. Yet the design community has ... » read more

Security Provisioning Moves Out Of The Factory


Security credentials traditionally have been provisioned during chip manufacturing, often as a final part of the testing process. That's starting to change. Logistics management can be improved by pushing that process out — even as far as the on-boarding process. And simpler on-boarding can hide most of the details from the user. “The IT approach to provisioning IoT devices has primar... » read more

Usage Models Driving Data Center Architecture Changes


Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to the various memory hierarchies, from SRAM to DRAM to storage. There is more data to process, and it takes less energy and time to process that data in place. But workloads also are being distrib... » read more

Using AWS Cloud Services For IC Library Characterization That Is Scalable, Secure, And Fast


Siemens’ AMS Verification team and Amazon Web Services (AWS) have collaborated to provide users with a scalable, secure and cost-effective cloud characterization flow that enables users to leverage cloud computing resources to accelerate library characterization, reduce compute resource bottlenecks, as well as improve characterization runtime predictability. To read more, click here. » read more

Data Overload In The Data Center


Dealing with increasing volumes of data inside of data centers requires an understanding of architectures, the flow of data between memory and processors, bandwidth, cache coherency and new memory types and interfaces. Gary Ruggles, senior product marketing manager at Synopsys, talks about how these systems are being revamped to improve performance and reduce power. » read more

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