tag: SRAM

The Next New Memories
By Mark LaPedus - 15 Aug, 2019 - Comments: 2

Several next-generation memory types are ramping up after years of R&D, but there are still more new memories in the research pipeline. Today, several next-generation memories, such as MRAM, phase-change memory (PCM) and ReRAM, are shipping to one degree or another. Some of the next new memories are extensions of these technologies. Others are based on entirely new technologies or involve ar... » read more

Using Memory Differently To Boost Speed
By Ed Sperling - 22 Jul, 2019 - Comments: 2

Boosting memory performance to handle a rising flood of data is driving chipmakers to explore new memory types and different ways of using existing memory, but it also is creating some complex new challenges. For most of the semiconductor design industry, memory has been a non-issue for the past couple of decades. The main concerns were price and size, but memory makers have been more than a... » read more

Will In-Memory Processing Work?
By Brian Bailey - 16 Jul, 2019 - Comments: 1

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits the effectiveness of cache. The result is the first serious assault on the von Neumann architecture, which for a computer was simple, scalable and modular. It separated the notion of a computatio... » read more

Inferencing Efficiency
By Ed Sperling - 11 Jul, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks with Semiconductor Engineering about how to measure efficiency in inferencing chips, how to achieve the most throughput for the lowest cost, and what the benchmarks really show. » read more

Memory Options And Tradeoffs
By Ed Sperling - 13 Jun, 2019 - Comments: 0

Steven Woo, Rambus fellow and distinguished inventor, talks with Semiconductor Engineering about different memory options, why some are better than others for certain tasks, and what the tradeoffs are between the different memory types and architectures.     Related Articles/Videos Memory Tradeoffs Intensify In AI, Automotive Applications Why choosing memories and archi... » read more

Do Large Batches Always Improve Neural Network Throughput?
By Geoff Tate - 06 Jun, 2019 - Comments: 1

Common benchmarks like ResNet-50 generally have much higher throughput with large batch sizes than with batch size =1. For example, the Nvidia Tesla T4 has 4x the throughput at batch=32 than when it is processing in batch=1 mode. Of course, larger batch sizes have a tradeoff: latency increases which may be undesirable in real-time applications. Why do larger batches increase throughput... » read more

Self-aligned Fin Cut Last Patterning Scheme for Fin Arrays of 24nm Pitch and Beyond
By Coventor - 18 Apr, 2019 - Comments: 0

In 5nm FinFET technology and beyond, SRAM cell size reduction to 6 tracks is required with a fin pitch of 24nm. Fin depopulation is mandatory to enable area scaling, but it becomes challenging at small pitches. In the first part of our study, we simulate a FinFET process flow with various fin cut approaches to obtain a 3D model of a FinFET SRAM device. Layout dependent effects on silicon and pr... » 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

Target: 50% Reduction In Memory Power
By Brian Bailey - 11 Apr, 2019 - Comments: 3

Memory consumes about 50% or more of the area and about 50% of the power of an SoC, and those percentages are likely to increase. The problem is that static random access memory (SRAM) has not scaled in accordance with Moore's Law, and that will not change. In addition, with many devices not chasing the latest node and with power becoming an increasing concern, the industry must find ways to... » read more

In-Memory Vs. Near-Memory Computing
By Mark LaPedus - 21 Feb, 2019 - Comments: 1

New memory-centric chip technologies are emerging that promise to solve the bandwidth bottleneck issues in today’s systems. The idea behind these technologies is to bring the memory closer to the processing tasks to speed up the system. This concept isn’t new and the previous versions of the technology fell short. Moreover, it’s unclear if the new approaches will live up to their billi... » read more

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