tag: CUDA

Why Hardware-Dependent Software Is So Critical
By Brian Bailey - 23 Jun, 2022 - Comments: 0

Hardware and software are two sides of the same coin, but they often live in different worlds. In the past, hardware and software rarely were designed together, and many companies and products failed because the total solution was unable to deliver. The big question is whether the industry has learned anything since then. At the very least, there is widespread recognition that hardware-depen... » read more

Software-Hardware Co-Design Becomes Real
By Brian Bailey - 27 Sep, 2021 - Comments: 1

For the past 20 years, the industry has sought to deploy hardware/software co-design concepts. While it is making progress, software/hardware co-design appears to have a much brighter future. In order to understand the distinction between the two approaches, it is important to define some of the basics. Hardware/software co-design is essentially a bottom-up process, where hardware is deve... » read more

Architectural Considerations For AI
By Brian Bailey - 24 Jun, 2021 - Comments: 2

Custom chips, labeled as artificial intelligence (AI) or machine learning (ML), are appearing on a weekly basis, each claiming to be 10X faster than existing devices or consume 1/10 the power. Whether that is enough to dethrone existing architectures, such as GPUs and FPGAs, or whether they will survive alongside those architectures isn't clear yet. The problem, or the opportunity, is that t... » read more

Firmware Skills Shortage
By Brian Bailey - 25 Feb, 2021 - Comments: 0

Good hardware without good software is a waste of silicon, but with so many new processors and accelerator architectures being created, and so many new skills required, companies are finding it hard to hire enough engineers with low-level software expertise to satisfy the demand. Writing compilers, mappers and optimization software does not have the same level of pizazz as developing new AI ... » read more

The Automation Of AI
By Brian Bailey - 28 Mar, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Searching For A System Abstraction
By Brian Bailey - 28 Jun, 2018 - Comments: 3

Without abstraction, advances in semiconductor design would have stalled decades ago and circuits would remain about the same size as analog blocks. No new abstractions have emerged since the 1990s that have found widespread adoption. The slack was taken up by IP and reuse, but IP blocks are becoming larger and more complex. Verification by isolation is no longer a viable strategy at the system... » read more

Supporting CPUs Plus FPGAs (Part 3)
By Brian Bailey - 19 Apr, 2017 - Comments: 0

While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » read more

Supporting CPUs Plus FPGAs
By Brian Bailey - 11 Apr, 2017 - Comments: 5

While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » 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

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