Performance Analysis and Tuning for a Single-Chip Multiprocessor DSP
IEEE Parallel & Distributed Technology: Systems & Technology
Pentium 4 Performance-Monitoring Features
IEEE Micro
Performance Measurement Using Low Perturbation and High Precision Hardware Assists
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Efficient, Unified, and Scalable Performance Monitoring for Multiprocessor Operating Systems
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Integrated Performance Monitoring of a Cosmology Application on Leading HEC Platforms
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Microprocessors & Microsystems
A survey and taxonomy of on-chip monitoring of multicore systems-on-chip
ACM Transactions on Design Automation of Electronic Systems (TODAES)
| Hi-index | 0.00 |
As the physical gate-count in System-On-Chip (SOC) system increases and system design complexity grows steadily, it becomes more and more difficult to achieve good resource utilization by assigning each task to certain hardware IP and tracing the execution patterns of each task efficiently. Therefore, the performance monitoring feature is getting more and more important to provide the ease of system monitoring and performance debugging. In this paper, we present a performance monitoring unit (PMU) for the AMBA Advanced eXtensible Interface (AXI) bus. The PMU has capability to measure major performance metrics, such as bus latency for the specific master requests and amount of memory traffic for specific durations. It can also measure the contention of the bus masters and slaves in the SOC. We present the distributor and the synchronization method to use multiple performance counting units as well. The performance monitoring unit has been verified in the platform FPGA board with 9 by 4 AXI interconnect configuration. These monitoring features can give the insight to system design architect by helping to find and analyze the performance bottleneck of target system.