Latency

By Geoff Tate - 01 Nov, 2018 - Comments: 0

Most neural network chips and IP talk about ResNet-50 benchmarks (image classification at 224x224 pixels). But we find that the number one neural network of interest for most customers is real-time object recognition, such as YOLOv3. It's not possible to do comparisons here because nobody shows a YOLOv3 benchmark for their inferencing. But it's very possible to improve on the inferencing per... » read more

A Crisis In DoD’s Trusted Foundry Program?

By Mark LaPedus - 22 Oct, 2018 - Comments: 0

The U.S. Department of Defense’s Trusted Foundry program is in flux due to GlobalFoundries’ recent decision to put 7nm on hold, raising national security concerns across the U.S. defense community. U.S. DoD and military/aerospace chip customers currently have access to U.S.-based “secure” foundry capacity down to 14nm, but that's where it ends. No other foundries provide similar “s... » read more

Week in Review: IoT, Security, Auto

By Jeff Dorsch - 19 Oct, 2018 - Comments: 0

Internet of Things At Arm TechCon, Arm unveiled its Neoverse brand identity, providing an infrastructure foundation for 5G, the Internet of Things, edge computing, and other applications. The Arm Neoverse IP will proliferate next year from Arm and its technology partners. With Arm’s “Ares” platform, to be introduced in 2019, the company promises to deliver 30% per-generation performance ... » read more

Reconfigurable eFPGA For Aerospace Applications

By Geoff Tate - 12 Oct, 2018 - Comments: 0

Market research reports indicate about 10% of all dollar revenue of FPGA chips is for use in aerospace applications, and DARPA/DoD reports indicate about one-third of all dollar volume of ICs purchased by U.S. aerospace are FPGAs. FPGAs clearly are very important for aerospace applications because of a combination of short development time and the long mission life of many aerospace applica... » read more

Using ASICs For AI Inferencing

By Ed Sperling - 10 Oct, 2018 - Comments: 0

Flex Logix’s Cheng Wang looks at why ASICs are the best way to improve performance and optimize power and area for inferencing, and how to add flexibility into those designs to deal with constantly changing algorithms and data sets. https://youtu.be/XMHr7sz9JWQ » read more

Performance Benchmarking Embedded FPGAs

By Flex Logix - 03 Oct, 2018 - Comments: 0

When evaluating the performance of an embedded FPGA, one needs to evaluate the performance of each of the individual modules that make up an FPGA. The basic modules are: Reconfigurable logic building blocks (RBB-Logic), Fine-granularity logic containing LUTs, carry-forwarding adder chain, and flip-flops Reconfigurable DSP building blocks (RBB-DSP), Medium-granularity arith... » read more

Week in Review: IoT, Security, Auto

By Jeff Dorsch - 28 Sep, 2018 - Comments: 0

Internet of Things IBM this week launched the Watson Decision Platform for Agriculture, which combines artificial intelligence, Internet of Things technology, and cloud-based offerings, providing insights to farmers through a managed service. Among other features, growers can deploy drones to send photos to the IBM Cloud for AI-based trend analysis and detection of crop diseases. The platform ... » read more

Week In Review: Manufacturing, Test

By Mark LaPedus - 28 Sep, 2018 - Comments: 0

Tariffs The Federal Communications Commission (FCC) took a step in its ongoing efforts to remove regulatory barriers that inhibit the deployment of infrastructure necessary for 5G and other advanced wireless services in the U.S. "5G networks in America are key for powering the next generation of innovation, such as artificial intelligence, the Internet of Things and smart cities. (The FCC�... » read more

Week In Review: Design, Low Power

By Jesse Allen - 28 Sep, 2018 - Comments: 0

Arm announced a new processor targeted at autonomous driving applications. The Cortex-A76AE is a superscalar, out-of-order processor that incorporates Split-Lock safety technology. Split-Lock allows CPU clusters in an a SoC to be configured either in ‘split mode’ for high performance, allowing two (or four) independent CPUs in the cluster to be used for diverse tasks and applications, or �... » read more

Machine Learning Shifts More Work to FPGAs, SoCs

By Kevin Fogarty - 24 Sep, 2018 - Comments: 0

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

tag: Flex Logix

Real-Time Object Recognition At Low Cost/Power/Latency

A Crisis In DoD’s Trusted Foundry Program?

Week in Review: IoT, Security, Auto

Reconfigurable eFPGA For Aerospace Applications

Using ASICs For AI Inferencing

Performance Benchmarking Embedded FPGAs

Week in Review: IoT, Security, Auto

Week In Review: Manufacturing, Test

Week In Review: Design, Low Power

Machine Learning Shifts More Work to FPGAs, SoCs