Speeding Up AI

By Ed Sperling - 06 Jun, 2019 - Comments: 0

Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about AI, which processors work best where, and different approaches to accelerate performance. SE: How is AI affecting the FPGA business, given the constant changes in algorithms and the proliferation of AI almost everywhere? Blake: As we talk to more and more customers deploying new products and... » read more

Engineering The Signal For GDDR6

By Shawn Nikoukary - 09 May, 2019 - Comments: 0

DDR1 through DDR3 had their challenges, but speeds were below one gigabit and signal integrity (SI) challenges were more centered around static timing and running pseudo random binary sequence (PRBS) simulations. Now, with GDDR6, we are working on 16 to 20 gigabits per second (Gbps) signaling and even faster in the near future. As a result, engineering the signal for GDDR6 will require careful ... » read more

Latency Under Load: HBM2 vs. GDDR6

By Ed Sperling - 09 May, 2019 - Comments: 0

Steven Woo, Rambus fellow and distinguished inventor, explains why data traffic and bandwidth are critical to choosing the type of DRAM, options for improving traffic flow in different memory types, and how this works with multiple memory types. Related Video GDDR6 - HBM2 Tradeoffs Why designers choose one memory type over another. Applications for each were clearly delineate... » read more

More Memory And Processor Tradeoffs

By Ed Sperling - 11 Apr, 2019 - Comments: 0

Creating a new chip architecture is becoming an increasingly complex series of tradeoffs about memories and processing elements, but the benefits are not always obvious when those tradeoffs are being made. This used to be a fairly straightforward exercise when there was one processor, on-chip SRAM and off-chip DRAM. Fast forward to 7/5nm, where chips are being developed for AI, mobile ph... » read more

GDDR6 And HBM2: Signal Integrity Challenges For AI

By Frank Ferro - 11 Apr, 2019 - Comments: 0

In a nutshell, Artificial Intelligence (AI) and its growing list of applications demand a considerably large amount of bandwidth to push bits in and out of memory at the highest speeds possible. AI has been getting a lot of industry attention, and certainly it’s not a new phenomenon because it’s been gaining even greater traction in the last year or two. This is especially true since a n... » read more

GDDR6 – HBM2 Tradeoffs

By Ed Sperling - 10 Apr, 2019 - Comments: 0

Steven Woo, Rambus fellow and distinguished inventor, talks about why designers choose one memory type over another. Applications for each were clearly delineated in the past, but the lines are starting to blur. Nevertheless, tradeoffs remain around complexity, cost, performance, and power efficiency. Related Video Latency Under Load: HBM2 vs. GDDR6 Why data traffic and bandw... » read more

Memory Tradeoffs Intensify in AI, Automotive Applications

By Ann Mutschler - 14 Mar, 2019 - Comments: 0

The push to do more processing at the edge is putting a strain on memory design, use models and configurations, leading to some complex tradeoffs in designs across a variety of markets. The problem is these architectures are evolving alongside these new markets, and it isn't always clear how data will move across these chips, between devices, and between systems. Chip architectures are becom... » read more

GDDR6: Signal Integrity Challenges For Automotive Systems

By Frank Ferro - 14 Mar, 2019 - Comments: 0

Signal integrity (SI) is at the forefront of SoC and system designers’ thinking as they plan for upcoming high-speed GDDR6 DRAM and PHY implementations for automotive and advanced driver assistance system (ADAS) applications. Rambus and its partners are closely looking at how GDDR6’s 16 gigabit per second speed at each pin affects signal integrity given the cost and system constraints for a... » read more

How To Build An Automotive Chip

By Ann Mutschler - 07 Mar, 2019 - Comments: 0

The introduction of advanced electronics into automotive design is causing massive disruption in a supply chain that, until very recently, hummed along like a finely tuned sports car. The rapid push toward autonomous driving has changed everything. This year, Level 3 autonomy will begin hitting the streets, and behind the scenes, work is underway to design SoCs for Level 4. But how these chi... » read more

Hidden Signals: The Memories And Interfaces Enabling IoT, 5G, And AI

By Rambus - 04 Mar, 2019 - Comments: 0

This IDC Technology Spotlight Report, sponsored by Rambus, highlights key, often hidden, memory and interface technologies that are enabling high performance electronic systems to serve the disruptive trends of the next decade like IoT, 5G, and Artificial Intelligence. The report discusses: Data and the importance of connectivity, both from the physical (analog) world to the digital wor... » read more

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Knowledge Centers
Entities, people and technologies explored

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3.5D: The Great Compromise

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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.

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

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