tag: heterogeneous computing

Heterogeneous Computing Raises The Bar For Functional Verification
By Raik Brinkmann - 29 Nov, 2018 - Comments: 0

If there’s one thing certain in chip development, it’s that every innovation in architecture or semiconductor technology puts more pressure on the functional verification process. The increase in gate count for each new technology node stresses tool capacity. Every step up in complexity makes it harder to find deep, corner-case bugs. The dramatic growth in SoC designs brings software into p... » read more

Heterogeneous Computing Verification
By Ed Sperling - 28 Nov, 2018 - Comments: 0

Raik Brinkmann, CEO of OneSpin Solutions, looks at new architectures involving AI and machine learning, what changes in these multi-accelerator, multi-memories designs, and where problems can crop up both in design and verification. https://youtu.be/0Trtfq8_hKg       See other tech talk videos here. » read more

Building AI SoCs
By Ed Sperling - 25 Oct, 2018 - Comments: 0

Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE    ... » read more

The Next Big Chip Companies
By Ed Sperling - 05 Oct, 2018 - Comments: 1

Rambus’ Mike Noonen looks at why putting everything on a single die no longer works, what comes after Moore’s Law, and what the new business model looks like for chipmakers. https://youtu.be/X6Kca8Vm-wA » read more

Tech Talk: Verification
By Ed Sperling - 30 Nov, 2017 - Comments: 0

Frank Schirrmeister, Cadence's senior group director for verification platforms, talks about what's changing in verification with 5G, machine learning, greater connectivity, advanced packaging, and the growing need to build security into designs. https://youtu.be/GMF8BkmdJzE » read more

The Great Machine Learning Race
By Ed Sperling - 03 Apr, 2017 - Comments: 2

Processor makers, tools vendors, and packaging houses are racing to position themselves for a role in machine learning, despite the fact that no one is quite sure which architecture is best for this technology or what ultimately will be successful. Rather than dampen investments, the uncertainty is fueling a frenzy. Money is pouring in from all sides. According to a new Moor Insights report,... » read more

Tuning Heterogeneous SoCs
By Brian Bailey - 08 Dec, 2016 - Comments: 0

It's one thing to pack multiple processor cores into a design, but it is much more difficult to ensure the hardware matches the software's requirements, or that the software optimally uses the hardware. Both the hardware and software teams are now facing these issues, and there are few tools to help them fully understand the problems or to provide solutions. Design teams continue to add more... » read more

Homogeneous And Heterogeneous Computing Collide
By Brian Bailey - 22 Nov, 2016 - Comments: 0

Eleven years ago processors stopped scaling due to diminishing returns and the breakdown of [getkc id="213" kc_name="Dennard's Law"]. That set in motion a chain of events from which the industry has still not fully recovered. The transition to homogeneous multi-core processing presented the software side with a problem that they did not know how to solve, namely how to optimize the usage of ... » read more

Coherency, Cache And Configurability
By Ann Mutschler - 24 Mar, 2016 - Comments: 0

Coherency is gaining traction across a wide spectrum of applications as systems vendors begin leveraging heterogeneous computing to improve performance, minimize power, and simplify software development. Coherency is not a new concept, but making it easier to apply has always been a challenge. This is why it has largely been relegated to CPUs with identical processor cores. But the approach ... » read more

The Ubiquitous GPU
By Ann Mutschler - 27 Jun, 2013 - Comments: 0

By Ann Steffora Mutschler No matter the application area, GPUs are likely playing a role like never before—even to accelerate EDA software algorithms. It’s no wonder given the ability of GPUs to handle parallel processing much more effectively than CPUs. And when coexisting in a heterogeneous system, GPUs allow the design team to maximize efficiency and performance by allocating tasks... » read more

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