tag: edge computing

Choosing Between CCIX And CXL
By Ed Sperling - 19 May, 2020 - Comments: 0

Semiconductor Engineering sat down to the discuss the pros and cons of the Compute Express Link (CXL) and the Cache Coherent Interconnect for Accelerators (CCIX) with Kurt Shuler, vice president of marketing at Arteris IP; Richard Solomon, technical marketing manager for PCI Express controller IP at Synopsys; and Jitendra Mohan, CEO of Astera Labs. What follows are excerpts of that conversati... » read more

The Murky World Of AI Benchmarks
By Ann Mutschler - 30 Apr, 2020 - Comments: 0

AI startup companies have been emerging at breakneck speed for the past few years, all the while touting TOPS benchmark data. But what does it really mean and does a TOPS number apply across every application? Answer: It depends on a variety of factors. Historically, every class of design has used some kind of standard benchmark for both product development and positioning. For example, SPEC... » read more

Re-Imagining The GPU
By SE Staff - 23 Apr, 2020 - Comments: 0

John Rayfield, CTO at Imagination Technologies, sat down with Semiconductor Engineering to talk about RISC-V, AI, and computing architectures. What follows are excerpts of that conversation. SE: What your plans are for RISC-V? Rayfield: We're actively finalizing the integration of RISC-V cores into future-generation GPUs. That work has been going on for several months. Moving forward, we'... » read more

Thinking Way, Way Outside The Box
By Ed Sperling - 09 Apr, 2020 - Comments: 0

The COVID-19 High Performance Computing Consortium has set records for global cooperation by giant companies, universities and various federal agencies and national laboratories. But it also may have cracked opened a door for much more than that. Until now, there has been a massive race for dominance in the data center. Big companies have gotten rich on data, building infrastructure at a col... » read more

Designing Ultra Low Power AI Processors
By Ann Mutschler - 09 Apr, 2020 - Comments: 0

AI chip design is beginning to shift direction as more computing moves to the edge, adding a level of sophistication and functionality that typically was relegated to the cloud, but in a power envelope compatible with a battery. These changes leverage many existing tools, techniques and best practices for chip design. But they also are beginning to incorporate a variety of new approaches tha... » read more

Stream Vs. Pool Data Processing
By Ed Sperling - 08 Apr, 2020 - Comments: 0

Geoff Tate, CEO of Flex Logix, looks at the very different data processing requirements at the edge and in the data center, and what really drives efficiency and speed in applications such as automotive. » read more

More Multiply-Accumulate Operations Everywhere
By Ed Sperling - 02 Apr, 2020 - Comments: 1

Geoff Tate, CEO of Flex Logix, sat down with Semiconductor Engineering to talk about how to build programmable edge inferencing chips, embedded FPGAs, where the markets are developing for both, and how the picture will change over the next few years. SE: What do you have to think about when you're designing a programmable inferencing chip? Tate: With a traditional FPGA architecture you ha... » read more

PCIe 5.0 Drill-Down
By Ed Sperling - 01 Apr, 2020 - Comments: 0

Suresh Andani, senior director of product marketing for SerDes IP at Rambus, digs into the new PCI Express standard, why it’s so important for data centers, how it compares with previous versions of the standard, and how it will fit into existing and non-von Neumann architectures. » read more

Power Management Becomes Top Issue Everywhere
By Ann Mutschler - 12 Mar, 2020 - Comments: 1

Power management is becoming a bigger challenge across a wide variety of applications, from consumer products such as televisions and set-top-boxes to large data centers, where the cost of cooling server racks to offset the impact of thermal dissipation can be enormous. Several years ago, low-power design was largely relegated to mobile devices that were dependent on a battery. Since then, i... » read more

Machine Learning At The Edge
By Mentor, a Siemens Business - 11 Mar, 2020 - Comments: 0

Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

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