Experience with building a commodity Intel-based ccNUMA system

B. C. Brock, G. D. Carpenter, E. Chiprout, M. E. Dean, P. L. De Backer, E. N. Elnozahy, H. Franke, M. E. Giampapa, D. Glasco, J. L. Peterson, R. Rajamony, R. Ravindran (+3 others)
2001 IBM Journal of Research and Development  
Experience with building a commodity Intel-based ccNUMA system Commercial cache-coherent nonuniform memory access (ccNUMA) systems often require extensive investments in hardware design and operating system support. A different approach to building these systems is to use Standard High Volume (SHV) hardware and stock software components as building blocks and assemble them with minimal investments in hardware and software. This design approach trades the performance advantages of specialized
more » ... dware design for simplicity and implementation speed, and relies on application-level tuning for scalability and performance. We present our experience with this approach in this paper. We built a 16-way ccNUMA Intel system consisting of four commodity four-processor Fujitsu ® Teamserver TM SMPs connected by a Synfinity TM cachecoherent switch. The system features a total of sixteen 350-MHz Intel ® Xeon TM processors and 4 GB of physical memory, and runs the standard commercial Microsoft Windows NT ® operating system. The system can be partitioned statically or dynamically, and uses an innovative, combined hardware/software approach to support application-level performance tuning. On the hardware side, a programmable performance-monitor card measures the frequency of remote-memory accesses, which constitute the predominant source of performance overhead. The monitor does not cause any performance overhead and can be deployed in production mode, providing the possibility for dynamic performance tuning if the application workload changes over time. On the software side, the Resource Set abstraction allows application-level threads to improve performance and scalability by specifying their execution and memory affinity across the ccNUMA system. Results from a performance-evaluation study confirm the success of the combined hardware/software approach for performance tuning in computation-intensive workloads. The results also show that the poor local-memory bandwidth in commodity Intel-based systems, rather than the latency of remote-memory access, is often the main contributor to poor
doi:10.1147/rd.452.0207 fatcat:uomsp7ddtfadjk4ogo3l3hlo4m