Memory and Communication Profiling for Accelerator-Based Platforms

作者：Ashraf Imran^*; Khammassi Nader; Taouil Mottaqiallah; Bertels Koen

来源：IEEE Transactions on Computers, 2018, 67(7): 934-948.

DOI：10.1109/TC.2017.2785225

• Memory profiling
• data-communication profiling
• architecture-independent profiling
• accelerator-based computing
• communication-aware mapping
• shadow memory

The growing demand of processing power is being satisfied mainly by an increase in the number of homogeneous and heterogeneous computing cores in a system. Efficient utilization of these architectures demands analysis of memory-access behaviour of applications and perform data-communication aware mapping of applications on these architectures. Appropriate tools are required to highlight memory-access patterns and provide detailed intra-application data-communication information to assist developers in porting existing sequential applications efficiently to these architectures. In this work, we present the design of an open-source tool which provides such a detailed profile for C/C++ applications. In contrast to prior work, our tool not only reports detailed information, but also generates this information with manageable overheads for realistic workloads. Comparison with the state-of-the-art shows that the proposed profiler has, on the average, an order of magnitude less overhead as compared to the state-of-the-art data-communication profilers for a wide range of benchmarks. The experimental results show that our proposed tool generated profiling information for image processing applications which assisted in achieving a speed-up of 6.14x and 2.75x for heterogeneous multi-core platforms containing an FPGA and a GPU as accelerators, respectively.

• 出版日期2018-7