tag: ML

Reliability Over Time And Space
By Ed Sperling - 13 Oct, 2020 - Comments: 0

The demand for known good die is well understood as multi-chip packages are used in safety-critical and mission-critical applications, but that alone isn't sufficient. As chips are swapped in and out of packages to customize them for specific applications, it will be the entire module that needs to be verified, simulated and tested, and analyzed. This is more complicated than it sounds for s... » read more

One More Time: TOPS Do Not Predict Inference Throughput
By Geoff Tate - 08 Oct, 2020 - Comments: 0

Many times you’ll hear vendors talking about how many TOPS their chip has and imply that more TOPS means better inference performance. If you use TOPS to pick your AI inference chip, you will likely not be happy with what you get. Recently, Vivienne Sze, a professor at MIT, gave an excellent talk entitled “How to Evaluate Efficient Deep Neural Network Approaches.” Slides are also av... » read more

Good Vs. Bad Acquisitions
By Ed Sperling - 07 Oct, 2020 - Comments: 0

M&A activity is beginning to heat up across the semiconductor industry, fueled by high market caps, low interest rates, and a slew of startups with innovative technology and limited market reach. Some of these deals are gigantic, such as the pending acquisition of Arm by Nvidia, and the proposed purchase of Maxim Integrated by Analog Devices. Others are more modest, such as Arteris IP's ... » read more

Deals That Change The Chip Industry
By Ed Sperling - 28 Sep, 2020 - Comments: 0

Nvidia's pending $40 billion acquisition of Arm is expected to have a big impact on the chip world, but it will take years before the effects of this deal are fully understood. More such deals are expected over the next couple of years due to several factors — there is a fresh supply of startups with innovative technology, interest rates are low, and market caps and stock prices of buyers ... » read more

Nvidia To Buy Arm For $40B
By Ed Sperling - 13 Sep, 2020 - Comments: 2

Nvidia inked a deal with Softbank to buy Arm for $40 billion, combining the No. 1 AI/ML GPU maker with the No. 1 processor IP company. Assuming the deal wins regulatory approval, the combination of these two companies will create a powerhouse in the AI/ML world. Nvidia's GPUs are the go-to platform for training algorithms, while Arm has a broad portfolio of AI/ML processor cores. Arm also ha... » read more

How ML Enables Cadence Digital Tools To Deliver Better PPA
By Cadence - 09 Sep, 2020 - Comments: 0

Artificial intelligence (AI) and machine learning (ML) are emerging as powerful new ways to do old things more efficiently, which is the benchmark that any new and potentially disruptive technology must meet. In chip design, results are measured in many different ways, but common metrics are power (consumed), performance (provided), and area (required), collectively referred to as PPA. These me... » read more

From Data Center To End Device: AI/ML Inferencing With GDDR6
By Rambus - 09 Sep, 2020 - Comments: 0

Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inferencing. As inferencing migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be i... » read more

Intelligent System Design
By Cadence - 02 Sep, 2020 - Comments: 0

Electronics technology is proliferating to new, creative applications and appearing in our everyday lives. To compete, system companies are increasingly designing their own semiconductor chips, and semiconductor companies are delivering software stacks, to enable substantial differentiation of their products. This trend started in mobile devices and is now moving into cloud computing, automotiv... » read more

Getting Particular About Partitioning
By Ed Sperling - 31 Aug, 2020 - Comments: 0

Partitioning could well be one of the most important and pervasive trends since the invention of computers. It has been around for almost as long, too. The idea dates back at least as far back as the Manhattan Project during World War II, when computations were wrapped within computations. It continued from there with what we know as time-sharing, which rather crudely partitioned access by p... » read more

Chiplet Reliability Challenges Ahead
By Ed Sperling - 12 Aug, 2020 - Comments: 2

Assembling chips using LEGO-like hard IP is finally beginning to take root, more than two decades after it was first proposed, holding the promise of faster time to market with predictable results and higher yield. But as these systems of chips begin showing up in mission-critical and safety-critical applications, ensuring reliability is proving to be stubbornly difficult. The main driver fo... » read more

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