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See Figure 2. Figure 2 A multi-level hierarchical memory structure has faster, more expensive memory technologies closer to the processor with more levels and larger impact on latency and processor ...
Processor performance continues to improve exponentially, with more processor cores, parallel instructions, and specialized processing elements, but it is far outpacing improvements in bandwidth and ...
The disparity between the speed of the CPU and memory (RAM). Although CPU clock speeds are forever increasing, memory response time has not kept up the same accelerated pace. See compute-in-memory ...
Another challenge CXL solves is the so-called memory wall problem. As CPUs have developed, it has become a struggle to keep all of the cores fed with data. CPUs have gotten faster than memory, and ...
SPONSORED: MemCon 2024 is billed as a one stop shop for emerging technologies in the memory and storage domain, and a hub for efficient data movement and management. Because it’s all too easy to lose ...
Through new hardware-based interleaving of CXL-attached and CPU native memory, Astera Labs and Intel eliminate any application-level software changes to augment server memory resources via CXL.
The second approach has been to create a wider pathway between the memory array—which can produce thousands of bits per cycle in parallel—and the processor die. Arguably this has been taken near its ...
With the number of parameters in the generative-AI model ChatGPT-4 reportedly close to 1.4 trillion, artificial intelligence has powered head-on into the memory wall.
“This industry is using Nvidia GPUs as the world’s most expensive memory controller,” said Dave Lazovsky, whose company, Celestial AI, just snagged another $175 million in a Series C funding round ...
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