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

GDDR6: Signal Integrity Challenges For Automotive Systems


Signal integrity (SI) is at the forefront of SoC and system designers’ thinking as they plan for upcoming high-speed GDDR6 DRAM and PHY implementations for automotive and advanced driver assistance system (ADAS) applications. Rambus and its partners are closely looking at how GDDR6’s 16 gigabit per second speed at each pin affects signal integrity given the cost and system constraints for a... » read more

Inference Acceleration: Follow The Memory


Much has been written about the computational complexity of inference acceleration: very large matrix multiplies for fully-connected layers and huge numbers of 3x3 convolutions across megapixel images, both of which require many thousands of MACs (multiplier-accumulators) to achieve high throughput for models like ResNet-50 and YOLOv3. The other side of the coin is managing the movement of d... » 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

New Memory Options


Carlos Macián, eSilicon’s senior director of AI strategy and products, talks about how to utilize memory differently and reduce the movement of data in AI chips, and what impact that has on power and performance. https://youtu.be/wItp6wReVts » read more

Power/Performance Bits: Feb. 26


Integrated RRAM for edge AI Researchers at CEA-Leti and Stanford University have developed the first circuit integrating multiple-bit non-volatile Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM. The proof-of-concept chip monolithically integrates two heterogeneous technologies: 18KB of on-chip... » read more

Creating Higher Density 3D NAND Structures


3D NAND flash memory has enabled a new generation of non-volatile solid-state storage useful in nearly every electronic device imaginable. 3D NAND can achieve data densities exceeding those of 2D NAND structures, even when fabricated on later generation technology nodes. The methods used to increase storage capacity come with potentially significant tradeoffs in memory storage, structural sta... » read more

Multiple Approaches To Memory Challenges


As we enter the era of Big Data and Artificial Intelligence (AI), it is amazing to think about the possibilities for a truly seismic shift in the changing requirements for memory solutions. The massive amount of data humans generate every year is astounding and yet is expected to increase five-fold in the next few years from machine-generated data. Further compounding this growth is the emergin... » 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

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