HCMA: Supporting High Concurrency of Memory Accesses with Scratchpad Memory in FPGAs

Currently many researches focus on new methods of accelerating memory accesses between memory controller and memory modules. However, the absence of an accelerator for memory accesses between CPU and memory controller wastes the performance benefits of new methods. Therefore, we propose a coordinated batch method to support high concurrency of memory accesses (HCMA). Compared to the conventional method of holding outstanding memory access requests in miss status handling registers (MSHRs), HCMA method takes advantage of scratchpad memory in FPGAs or SoCs to circumvent the limitation of MSHR entries. The concurrency of requests is only limited by the capacity of scratchpad memory. Moreover, to avoid the higher latency when searching more entries, we design an efficient coordinating mechanism based on circular queues.We evaluate the performance of HCMA method on an MP-SoC FPGA platform. Compared to conventional methods based on MSHRs, HCMA method supports ten times of concurrent memory accesses (from 10 to 128 entries on our evaluation platform). HCMA method achieves up to 2.72× memory bandwidth utilization for applications that access memory with massive fine-grained random requests, and to 3.46× memory bandwidth utilization for stream-based memory accesses. For real applications like CG, our method improves speedup performance by 29.87%.