tag: GDDR

HBM2 Vs. GDDR6: Tradeoffs In DRAM
By Ed Sperling - 13 Jun, 2019 - Comments: 0

Semiconductor Engineering sat down to talk about new DRAM options and considerations with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product marketing at Cadence; Graham Allan, senior product marketing manager for DDR PHYs at Synopsys; and Tien Shiah, senior manager for memory marketing at Samsung Electronics. What follows are excerpts of th... » read more

The Importance Of Using The Right DDR SDRAM Memory
By Vadhiraj Sankaranarayanan - 14 Mar, 2019 - Comments: 0

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

Using Memory Differently
By Ann Mutschler - 31 Jan, 2019 - Comments: 0

Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

Making Sense Of DRAM
By Ed Sperling - 13 Dec, 2018 - Comments: 0

Graham Allan, senior manager for product marketing at Synopsys, examines the different types of DRAM, from GDDR to HBM, which markets they’re used in, and why there is such disparity between them. https://youtu.be/ynvcPfD2cZU     __________________________________ See more tech talk videos here. » read more

High-Performance Memory Challenges
By Ann Mutschler - 12 Apr, 2018 - Comments: 1

Designing memories for high-performance applications is becoming far more complex at 7/5nm. There are more factors to consider, more bottlenecks to contend with, and more tradeoffs required to solve them. One of the biggest challenges is the sheer volume of data that needs to be processed for AI, machine learning or deep learning, or even in classic data center server racks. “The design... » read more

How AI Impacts Memory Systems
By Steven Woo - 08 Mar, 2018 - Comments: 0

Throughout the 1980’s and early 1990’s computer systems were bottlenecked by relatively slow CPU performance, thereby limiting what applications could do. Driven by Moore’s Law, transistor counts increased significantly over the years, improving system performance and enabling exciting new computing possibilities. Although computing capabilities have advanced significantly in recen... » read more

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