Short of full blown molecular computers or universal quantum computers or optical computers memristors have the most potential for a hardware change to dramatically boost the power and capabilities of ...

Compute-in-memory chips like GSI’s APU could reshape AI hardware by blending memory and computation, though scalability ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

From a conceptual standpoint, the idea of embedding processing within main memory makes logical sense since it would eliminate many layers of latency between compute and memory in modern systems and ...

PALO ALTO, Calif.--(BUSINESS WIRE)--UPMEM announced today a Processing-in-Memory (PIM) acceleration solution that allows big data and AI applications to run 20 times faster and with 10 times less ...

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits ...

A researcher at the Pacific Northwest National Laboratory has developed a new architecture for 3D stacked memory. It uses the hardware’s capacity for “processing in memory” to deliver 3D rendering ...

New memory-centric chip technologies are emerging that promise to solve the bandwidth bottleneck issues in today’s systems. The idea behind these technologies is to bring the memory closer to the ...

The idea of bringing compute and memory functions in computers closer together physically within the systems to accelerate the processing of data is not a new one. Some two decades ago, vendors and ...