tag: memory

Software In Inference Accelerators
By Ed Sperling - 10 Feb, 2020 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about the importance of hardware-software co-design for inference accelerators, how that affects performance and power, and what new approaches chipmakers are taking to bring AI chips to market. » read more

Balancing Flexibility And Quality In SRAM Verification
By Elven Huang - 30 Jan, 2020 - Comments: 0

Memory is an essential component of system-on-chip (SOC) designs, especially at advanced nodes. SoCs use a variety of memory block types, such as static random-access memory (SRAM) and dynamic RAM (DRAM), to perform computations. The SRAM blocks, which consist of an assembly of specialized calls that abut or overlap one another in a specific arrangement that complies with the circuit specificat... » read more

Speeding Up Process Optimization Using Virtual Fabrication
By Coventor - 22 Jan, 2020 - Comments: 0

Author: Joseph Ervin Director, Semiconductor Process and Integration Lam Research Advanced CMOS scaling and new memory technologies have introduced increasingly complex structures into the device manufacturing process. For example, the increase in NAND memory layers has achieved greater vertical NAND scaling and higher memory density, but has led to challenges in high aspect ratio etch patte... » read more

Power/Performance Bits: Dec. 31
By Jesse Allen - 31 Dec, 2019 - Comments: 0

Three-valued memory Scientists at the Tokyo Institute of Technology and the University of Tokyo developed a new three-valued memory device inspired by solid lithium-ion batteries which could potentially serve as low power consumption RAM. The new device consisted of a stack of three solid layers made of lithium, lithium phosphate, and gold. This stack is essentially a miniature low-capacity... » read more

A New Dawn For IP
By Brian Bailey - 12 Dec, 2019 - Comments: 0

The IP industry is changing again. The concept started as build once, use everywhere, but today it is more like architect once, customize everywhere. Few designs can afford sub-optimal IP for their application. The need for customized IP is driven by both leading-edge designs and the trailing markets, although for different reasons. While this customization is causing IP companies to transfo... » read more

Machine Learning At The Edge
By Mentor, a Siemens Business - 12 Dec, 2019 - 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

Improving Reliability Monitoring Of High-Bandwidth Memory
By Eyal Fayneh - 10 Dec, 2019 - Comments: 0

As the quest for increased bandwidth and speed continues, multi-die technologies with advanced memory architectures are introduced. As the complexity of these heterogenous packaging continues to develop, new reliability challenges arise. A new approach to HBM subsystem monitoring and repair provides advanced in-field reliability assurance. By applying analytics to data created by on-chip Age... » read more

Why Standard Memory Choices Are So Confusing
By Ann Mutschler - 19 Nov, 2019 - Comments: 0

System architects increasingly are developing custom memory architectures based upon specific use cases, adding to the complexity of the design process even though the basic memory building blocks have been around for more than half a century. The number of tradeoffs has skyrocketed along with the volume of data. Memory bandwidth is now a gating factor for applications, and traditional memor... » read more

GDDR6 Pushes The Memory Envelope For AI And ADAS
By Frank Ferro - 14 Nov, 2019 - Comments: 0

Memory bandwidth is an ever-increasing critical bottleneck for a wide range of use cases and applications. These include artificial intelligence (AI), machine learning (ML), advanced driver-assistance systems (ADAS), as well as 5G wireless and wireline infrastructure. In addition to memory bottlenecks, the above-mentioned use cases and applications are rapidly hitting the real-world limits of t... » read more

Tricky Tradeoffs For LPDDR5
By Ann Mutschler - 30 Oct, 2019 - Comments: 0

LPDDR5 is slated as the next-gen memory for AI technology, autonomous driving, 5G networks, advanced displays, and leading-edge camera applications, and it is expected to compete with GDDR6 for these applications. But like all next-gen applications, balancing power, performance, and area concerns against new technology options is not straightforward. These are interesting times in the memory... » read more

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