tag: DRAM

Compute-In Memory Accelerators Up-End Network Design Tradeoffs
By Katherine Derbyshire - 21 May, 2020 - Comments: 0

An explosion in the amount of data, coupled with the negative impact on performance and power for moving that data, is rekindling interest around in-memory processing as an alternative to moving data back and forth between the memory and the processor. Compute-in-memory (CIM) arrays based on either conventional memory elements like DRAM and NAND flash, as well as emerging non-volatile memori... » read more

An Inside Look At Testing’s Leading Edge
By Ed Sperling - 12 May, 2020 - Comments: 0

Mike Slessor, president and CEO of FormFactor, sat down with Semiconductor Engineering to discuss testing of AI and 5G chips, and why getting power into a chip for testing is becoming more difficult at each new node. SE: How does test change with AI chips, where you've got massive numbers of accelerators and processors developed at 7 and 5nm? Slessor: A lot of the AI stuff that we've been... » read more

DDR PHY Training
By Ed Sperling - 21 Apr, 2020 - Comments: 0

Brett Murdock, senior product marketing manager at Synopsys, explains how to train the DRAM physical layer using firmware, why that is so important for flexibility, and what kinds of issues engineers encounter when using this approach. » read more

NVM Reliability Challenges And Tradeoffs
By Bryon Moyer - 13 Apr, 2020 - Comments: 0

This second of two parts looks at different memories and possible solutions. Part one can be found here. While various NVM technologies, such as PCRAM, MRAM, ReRAM and NRAM share similar high-level traits, their physical renderings are quite different. That provides each with its own set of challenges and solutions. PCRAM has had a fraught history. Initially released by Samsung, Micron, a... » read more

What Is DRAM’s Future?
By Bryon Moyer - 09 Apr, 2020 - Comments: 0

Memory — and DRAM in particular — has moved into the spotlight as it finds itself in the critical path to greater system performance. This isn't the first time DRAM has been the center of attention involving performance. The problem is that not everything progresses at the same rate, creating serial bottlenecks in everything from processor performance to transistor design, and even the t... » read more

AI Requires Tailored DRAM Solutions
By Rambus - 08 Apr, 2020 - Comments: 0

For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. Each generation of hardware required DRAM to hit new benchmarks in bandwidth, latency, power or capacity. Looking ahead, the 2020s will be the decade of artificial intelligence/machine learning (AI/ML) touching every industry and applicatio... » read more

Inside The New Non-Volatile Memories
By Bryon Moyer - 07 Apr, 2020 - Comments: 0

The search continues for new non-volatile memories (NVMs) to challenge the existing incumbents, but before any technology can be accepted, it must be proven reliable. “Everyone is searching for a universal memory,” says TongSwan Pang, Fujitsu senior marketing manager. "Different technologies have different reliability challenges, and not all of them may be able to operate in automotive g... » read more

Memory Issues For AI Edge Chips
By Mark LaPedus - 23 Mar, 2020 - Comments: 3

Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

Scaling Up Compute-In-Memory Accelerators
By Katherine Derbyshire - 19 Mar, 2020 - Comments: 3

Researchers are zeroing in on new architectures to boost performance by limiting the movement of data in a device, but this is proving to be much harder than it appears. The argument for memory-based computation is familiar by now. Many important computational workloads involve repetitive operations on large datasets. Moving data from memory to the processing unit and back — the so-called ... » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 13 Mar, 2020 - Comments: 0

Market research The coronavirus is having a major impact on the semiconductor, smartphone and related markets. For example, global fab equipment spending promises to rebound from its 2019 downturn and see a modest recovery this year, according to a report from SEMI. But the coronavirus (COVID-19) outbreak has eroded fab equipment spending in China and elsewhere in 2020, according to the rep... » read more

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