In Memory And Near-Memory Compute


Steven Woo, Rambus fellow and distinguished inventor, talks about the amount of power required to move store data and to move it out of memory to where processing is done. This can include changes to memory, but it also can include rethinking compute architectures from the ground up to achieve up to 1 million times better performance in highly specialized systems. Related Find more ... » read more

China’s Latest Goal—More DRAMs


China is once again making a concerted effort to get its domestic DRAM industry off the ground. Past efforts have fallen short or failed. This time around, it’s unclear if China will succeed, but the industry should pay close attention here. So why would China want to play a bigger role in the tough and competitive DRAM business? For one thing, the U.S. and China are in the midst of a t... » read more

Process Control For Next-Generation Memories


The Internet of Things (IoT), Big Data and Artificial Intelligence (AI) are driving the need for higher speeds and more power-efficient computing. The industry is responding by bringing new memory technologies to the marketplace. Three new types of memory in particular—MRAM (magnetic random access memory), PCRAM (phase change RAM) and ReRAM (resistive RAM)—are emerging as leading candidat... » read more

Memory In Microcontrollers


Gideon Intrater, CTO of Adesto, talks about how to use microcontrollers for applications where more memory is required, such as automotive, communication, and AI at the edge. Options include moving MCUs toward a more aggressive process node, adding external non-volatile memory, and execute-in-place types of architectures. » read more

GDDR Accelerates Artificial Intelligence And Machine Learning


The origins of modern graphics double data rate (GDDR) memory can be traced back to GDDR3 SDRAM. Designed by ATI Technologies, GDDR3 made its first appearance in NVidia’s GeForce FX 5700 Ultra card which debuted in 2004. Offering reduced latency and high bandwidth for GPUs, GDDR3 was followed by GDDR4, GDDR5, GDDR5X and the latest generation of GDDR memory, GDDR6. GDDR6 SGRAM supports a ma... » read more

Enabling Practical Processing in and near Memory for Data-Intensive Computing


Source: ETH Zurich and Carnegie Mellon University Talk at DAC 2019. Technical Paper link » read more

Copy-Row DRAM (CROW) : Substrate for Improving DRAM


Source/Credit: ETH Zurich & Carnegie Mellon University Click here for the technical paper and here for the power point slides » read more

Falling Chip Forecasts


It’s time to take a pulse of the semiconductor market amid the memory downturn and trade frictions with China. For some time, the DRAM and NAND markets have been hit hard with falling prices and oversupply. Then, the Trump administration last year slapped tariffs on Chinese goods. China retaliated. And the trade war rages on between the U.S. and China. More recently, the U.S. Department... » read more

New Applications Call For New Memory Types


The semiconductor industry is on the verge of a transformative computing era driven by Big Data, Artificial Intelligence (AI) and the Internet of Things (IoT). However, achieving the improvements in computing performance and efficiency needed for new AI and IoT applications represent some of the biggest technology challenges the industry has faced. Among the most critical requirements is del... » read more

Playing Into China’s Hands


The fallout over blacklisting Huawei in particular, and China in general, has set the tone for a nasty global race. But it is almost certain to produce a different result than the proponents of a trade war are expecting. The idea behind tariffs and the blacklisting of Huawei is to starve China of vital technology. So far, the impact has been minimal. Reports from inside of China are equa... » read more

← Older posts