PROJECT TITLE :

CAPI: A Coherent Accelerator Processor Interface

ABSTRACT:

Heterogeneous computing systems combine different types of compute elements that share memory. A specific class of heterogeneous systems discussed in this paper pairs traditional general-purpose processing cores and accelerator units. While this arrangement enables significant gains in application performance, device driver overheads and operating system code path overheads can become prohibitive. The I/O interface of a processor chip is a well-suited attachment point from a system design perspective, in that standard server models can be augmented with application-specific accelerators. However, traditional I/O attachment protocols introduce significant device driver and operating system software latencies. With the Coherent Accelerator Processor Interface (CAPI), we enable attaching an accelerator as a coherent CPU peer over the I/O physical interface. The CPU peer features consist of a homogeneous virtual address space across the CPU and accelerator, and hardware-managed caching of this shared data on the I/O device. This attachment method greatly increases the opportunities for acceleration due to the much shorter software path length required to enable its use compared to a traditional I/O model.