Processing in memory, or PIM (sometimes calledprocessor in memory), refers to the integration of a processor with Random Access Memory (RAM) on a single chip. The result is sometimes known as a PIM chip. PIM allows computations and processing to be performed within thememory of a computer,s...
Processing in memory (PIM) is a process through which computations and processing can be performed within a computer, server or related device’s memory. It enables faster processing on tasks that reside within the computer memory module. Advertisements Processing in memory is also known as proc...
Processing-in-Memory (PIM) has been widely explored for accelerating data-intensive machine learning computation that mainly consists of general-matrix-multiplication (GEMM), by mitigating the burden of data movements and exploiting the ultra-high memory parallelism. The two mainstreams of PIM, the ...
Through Process In Memory, we put an end to costly data movement by computing exactly where the data is: the memory. We developed the first PIM solution that is fully programmable, scalable, and efficient to address data-intensive applications and without requiring any hardware architecture changes...
PIM is able to process some of the logic functions by integrating an AI engine called the Programmable Computing Unit (PCU) in the memory core. PIM will stimulate growth in the use of AI applications that require continuous performance improvements, such as mobile, data centers and HPC. 2X ...
This is where the introduction of the Processing in Memory (PIM) Hardware Accelerator comes into play as one potential solution to address this balance. In the subsequent sections of this chapter, we will delve into two key topics concerning PIM Hardware Accelerator technology. In Section 2, we...
Graph neural networks (GNNs) have attracted increasing interests in recent years. Due to the poor data locality and huge data movement during GNN inference, it is challenging to employ GNN to process large-scale graphs. Fortunately, processing-in-memory
Since PIM architectures include local computing circuits and memory, we can minimize the data transfer from/to external memory. In general, it is well known that the PIM architectures can improve energy efficiency by orders of magnitude. While SRAM and DRAM are commonly considered in PIM ...
Long-context LLMs, which process sequences of tens of thousands of tokens, further increase the demand on the memory system as the complexity in attention layers and key-value cache sizes is proportional to the context length. Processing-in-Memory (PIM) maximizes memory bandwidth by moving ...
A system and method of compiling program code, wherein the program code includes an operation on an array of data elements stored in memory of a computer system. The program code is scanned for operat