The term “memory wall” was first coined in the 1990s to describe memory bandwidth bottlenecks that were holding back CPU performance. The semiconductor industry helped address this memory wall ...

Indeed, it has been clearly demonstrated that as CPU/GPU performance increases, wait time for memory also increases, preventing full utilization of the processors. With the number of parameters in the ...

The need to retrieve then tokenize this additional data introduces another memory bottleneck. Widely differing requirements explain why many different architectures fall under the compute-in-memory ...

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.

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.

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 ...

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 ...

Astera Labs today said its Leo Memory Connectivity Platform is the industry’s first Compute Express Link (CXL) memory controller that increases server memory bandwidth by 50 percent while decreasing ...