Latency Under Load: HBM2 vs. GDDR6


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

Focus Shifting From 2.5D To Fan-Outs For Lower Cost


Semiconductor Engineering sat down to discuss advanced packaging with Calvin Cheung, vice president of engineering at ASE; Walter Ng, vice president of business management at UMC; Ajay Lalwani, vice president of global manufacturing operations at eSilicon; Vic Kulkarni, vice president and chief strategist in the office of the CTO at ANSYS; and Tien Shiah, senior manager for memory at Samsung. W... » read more

More Memory And Processor Tradeoffs


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


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

Week In Review: Manufacturing, Test


Chipmakers TrendForce released its foundry rankings for the first quarter of 2019. TSMC is still the clear leader, followed in order by Samsung, GlobalFoundries and UMC, according to the firm. It was a tough quarter for all foundries. Samsung has rolled out its new High Bandwidth Memory (HBM2E) product. The new solution, called Flashbolt, is the industry’s first HBM2E to deliver a 3.2Gbps... » read more

Memory Tradeoffs Intensify in AI, Automotive Applications


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

The Importance Of Using The Right DDR SDRAM Memory


Selecting the right memory technology is often the most critical decision for achieving the optimal system performance. Designers continue to add more cores and functionality to their SoCs; however, increasing performance while keeping power consumption low and silicon footprint small remains a vital goal. DDR SDRAMs, DRAMs in short, meet these memory requirements by offering a dense, high-perf... » read more

2.5D, 3D Power Integrity


Chris Ortiz, principal applications engineer at ANSYS, zeroes in on some common issues that are showing up in 2.5D and 3D packaging, which were not obvious in the initial implementations of these packaging technologies. This includes everything from how to build a power delivery network to minimize the coupling between chips to dealing with variability and power integrity and placement of diffe... » read more

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


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

In-Memory Vs. Near-Memory Computing


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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