Evaluating the Memory Architecture of Next-Generation FPGA-SoCs for HPC

Goebel, Matthias; Clasen, Kai Norman; Drehmel, Robert; Juurlink, Ben

doi:10.1109/hpcs48598.2019.9188179

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Secondly, [5] evaluates the memory architecture of a nextgeneration FPGA-SoC to validate the claims of increased memory bandwidth and cache coherency support [5]. This study distinguishes itself by emphasizing memory bandwidth and cache coherency support.…”

Section: Related Workmentioning

confidence: 99%

Investigation of Communication Overhead of SoC Lookaside Accelerators

Bolat,

Siddiqui,

Sezer

et al. 2023

2023 IEEE 36th International System-on-Chip Conference (SOCC)

View full text Add to dashboard Cite

Lookaside accelerators (LAAs) enable opportunities to asynchronously offload computationally intensive tasks from the general-purpose processors to the accelerator in order to improve the overall performance of a given system. However, the communication overhead involved in moving data between the LAA and the CPU can be significant and can impact anticipated performance, diminishing the benefits of a LAA. This paper examines the communication overhead between LAAs and CPUs, focusing on the communication setup and data transmission components. We develop a mathematical model to analyse and capture the problem and investigate the conditions under which hardware accelerators provide effective performance. To verify and validate the proposed model, we carried out studies using an ARM-based platform. Experimental results reveal that the length of data send to the LAA significantly impacts the overall offload benefit of the LAA when compared with software-only solutions. Communication overhead, specifically communication setup latency, has a diminishing impact on smaller data lengths. The presented mathematical model and experimental results clearly demonstrate that the targeted data length for offload is a critical parameter when designing LAAs.

show abstract

Section: Related Workmentioning

confidence: 99%