GDDR6 – HBM2 Tradeoffs


Steven Woo, Rambus fellow and distinguished inventor, talks about why designers choose one memory type over another. Applications for each were clearly delineated in the past, but the lines are starting to blur. Nevertheless, tradeoffs remain around complexity, cost, performance, and power efficiency.       Related Video Tech Talk: HBM Vs. GDDR6 (2018) A look at... » read more

The Promise Of GDDR6 And 7nm


Research Nester, a market research and consulting firm, estimates that the “global market of computer graphics may witness a remarkable growth and reach at the valuation of $215.5 billion by the end of year 2024.” Plus, it says this market is expected to grow at a significant compound annual growth rate or CAGR of 6.1% over the forecast period 2017 to 2024. Computer graphics is just the ... » read more

M2M’s Network Impact


Synopsys’ Manmeet Walia talks examines the impact of machine-to-machine traffic and why that requires some fundamental changes in networking architectures. Two key issues that need to be addressed are scalability and latency, which require new networking architectures. https://youtu.be/2RIQt3QVPtE » read more

IoT Wireless Battles Ahead


"The good thing about standards is that there are so many to choose from." – Andrew S. Tanebaum The extended version of that quote adds "furthermore, if you do not like any of them, you can just wait for next year's model." That could not be truer when it comes to IoT and wireless connectivity. Every standards group is rushing to create new versions of existing standards that use less p... » read more

32GT/s PCI Express Design Considerations


Today’s networking and rapidly emerging artificial intelligence (AI) applications are requiring more bandwidth in accelerators and GPUs, as well as faster interconnects to transmit and receive greater amounts of data. Towards the middle of 2017 the PCI-SIG industry consortium announced its latest specification, PCIe 5.0, which raised the data rate from 16GT/s to 32GT/s and doubled the link... » read more

GDDR6 PHYs: From The Data Center To Self-Driving Cars


The demand for ever-increasing bandwidth has resulted in a growing interest in GDDR across a number of market verticals, including data centers and the automotive sector. As an example of the former, deep learning applications require ever-increasing speed and bandwidth memory solutions in the data center. In deep learning and other emerging technologies, GDDR memory can help companies addre... » read more

Noise Abatement


[getkc id="285" kc_name="Noise"] is a fact of life. Almost everything we do creates noise as a by-product and quite often what is a signal to one party is noise to another. Noise cannot be eliminated. It must be managed. But is noise becoming a larger issue in chips as the technology nodes get smaller and packaging becomes more complex? For some, the answer is a very strong yes, while for ot... » read more

The Insatiable Need For Bandwidth


With the push for more and more Wi-Fi bandwidth, the WLAN industry, its standards committees, and the Ethernet switch manufacturers are having a hard time keeping up with the need for more speed. As the industry prepares for upgrading to 802.11ac Wave 2 and the promise of 11ax, the ability of Ethernet over existing copper wiring to meet the increased transfer speeds is being challenged. And wha... » read more

The Hunt For A Low-Power PHY


Physics has been on the side of chipmakers throughout most of the lifetime of [getkc id="74" comment="Moore's Law"], but when dealing with the world outside the chip, physics is working against them. Pushing data at ever-faster rates through boards and systems consumes increasing amounts of power, but the power budget for chips has not been increasing. Could chips be constrained by their int... » read more

HBM2: It’s All About The PHY


HBM DRAM is currently used in graphics, high-performance computing (HPC), server, networking and client applications. HBM, says JEDEC HBM Task Group Chairman Barry Wagner, provides a “compelling solution” to reduce the IO power and memory footprint for the most demanding applications. Recent examples of second-generation HBM deployment include NVIDIA’s Quadro GP100 GPU which is paired wit... » read more

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