What is the most expensive component that hyperscalers and cloud builders put into their X86 servers? It is the GPU accelerator, correct. So let’s ask this question another way: What is the most ...

If you reduce systems down to their bare essentials, everything exists in those systems to manipulate data in memory, and like human beings, all that really exists for any of us is what is in memory.

We’re on the verge of a new era of computing that will likely see major changes to the data center, thanks to the growing dominance of artificial intelligence (AI) and machine learning (ML) ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...

Cache memory significantly reduces time and power consumption for memory access in systems-on-chip. Technologies like AMBA protocols facilitate cache coherence and efficient data management across CPU ...

The main processor (CPU, “Central Processing Unit”), the main memory (RAM, “Random-Access Memory”), and the dedicated graphics card with its graphics processor (GPU, “Graphics Processing Unit”) are ...

Exponential increases in data and demand for improved performance to process that data has spawned a variety of new approaches to processor design and packaging, but it also is driving big changes on ...

In a computer, the entire memory can be separated into different levels based on access time and capacity. Figure 1 shows different levels in the memory hierarchy. Smaller and faster memories are kept ...