tag: GPU

Solving The Memory Bottleneck
By Brian Bailey - 04 Oct, 2019 - Comments: 4

Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

Where Is The Edge?
By Ed Sperling - 02 Oct, 2019 - Comments: 0

Mike Fitton, senior director of strategic planning at Achronix, talks about what the edge will look like, how that fits in with the cloud, what the requirements are both for processing and for storage, and how this concept will evolve.   Edge Knowledge Center Top stories, videos, blogs, white papers all related to the Edge » read more

Why Data Is So Difficult To Protect In AI Chips
By Ed Sperling - 25 Sep, 2019 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to discuss a wide range of hardware security issues and possible solutions with Norman Chang, chief technologist for the Semiconductor Business Unit at ANSYS; Helena Handschuh, fellow at Rambus, and Mike Borza, principal security technologist at Synopsys. What follows are excerpts of that conversation. The first part of this discussion ca... » read more

Manufacturing Bits: Sept. 17
By Mark LaPedus - 17 Sep, 2019 - Comments: 0

Full-chip inverse lithography D2S has developed new hardware and software that enables a long-awaited technology--full-chip masks using inverse lithography technology (ILT). For years, ILT has been a promising technology. ILT is a next-generation reticle enhancement technique (RET) that enables an optimal photomask pattern for both optical and extreme ultraviolet (EUV) lithography reticles.... » read more

Machine Learning Inferencing At The Edge
By Ed Sperling - 12 Sep, 2019 - Comments: 1

Ian Bratt, fellow in Arm's machine learning group, talks about why machine learning inferencing at the edge is so difficult, what are the tradeoffs, how to optimize data movement, how to accelerate that movement, and how it differs from developing other types of processors. » read more

What’s Powering Artificial Intelligence?
By Arm - 11 Sep, 2019 - Comments: 0

While artificial intelligence (AI) and machine learning (ML) applications soar in popularity, many organizations are questioning where ML workloads should be performed. Should they be done on a central processor (CPU), a graphics processor (GPU), or a neural processor (NPU)? The choice most teams are making today will surprise you. To scale artificial intelligence (AI) and machine learning (... » read more

Nvidia’s Top Technologists Discuss The Future Of GPUs
By SE Staff - 10 Sep, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss the role of the GPU in artificial intelligence, autonomous and assisted driving, advanced packaging and heterogeneous architectures with Bill Dally, Nvidia’s chief scientist, and Jonah Alben, senior vice president of Nvidia’s GPU engineering, at IEEE’s Hot Chips 2019 conference. What follows are excerpts of that conversation. SE: There are ... » read more

Week in Review – IoT, Security, Autos
By Jeff Dorsch - 06 Sep, 2019 - Comments: 0

Products/Services Rambus entered an exclusive agreement to acquire the Silicon IP, Secure Protocols, and Provisioning business from Verimatrix, formerly known as Inside Secure. Financial terms were not revealed. The transaction is expected to close this year. Rambus will use the Verimatrix offerings in such demanding applications as artificial intelligence, automotive, the Internet of Things, ... » read more

The Race For Better Computational Software
By Ed Sperling - 05 Sep, 2019 - Comments: 0

Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to talk about computational software, why it's so critical at the edge and in AI systems, and where the big changes are across the semiconductor industry. What follows are excerpts of that conversation. SE: There is no consistent approach to how data will be processed at the edge, in part because there is no consis... » read more

Synthesizing Hardware From Software
By Brian Bailey - 22 Aug, 2019 - Comments: 1

The ability to automatically generate optimized hardware from software was one of the primary tenets of system-level design automation that was never fully achieved. The question now is whether that will ever happen, and whether it is just a matter of having the right technology or motivation to make it possible. While high-level synthesis (HLS) did come out of this work and has proven to be... » read more

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