Architectural characterization of XQuery workloads on modern processors
DaMoN '07 Proceedings of the 3rd international workshop on Data management on new hardware
A 1 cycle-per-byte XML parsing accelerator
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
Journal of Parallel and Distributed Computing
Memory-side acceleration for XML parsing
NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
| Hi-index | 0.00 |
As XML (Extensible Markup Language) rapidly emerges as the standard for information storage and communication, it becomes increasingly important to understand its architectural characteristics and performance implications. In this paper, our goal is to characterize a representative XML-based server in a managed runtime environment such as Java*. Based on detailed measurements on an Intel® XeonTM processor-based commercial server running a real-world XML-based server workload, we start by looking at symmetric multiprocessor (SMP) scaling characteristics and the benefits of Hyper-Threading Technology. Using performance monitoring events provided on the processor, we present an overview of the architectural characteristics (such as clocks per instruction (CPI), cache miss rates, memory/bus utilization, branch behavior and efficiency). Using profiling tools like Intel® VTune驴 Performance Analyzer, we map these architectural/performance characteristics to the various components of application execution -- helping us identify hot spots and propose potential enhancements to code generation and application software. We believe that the information presented in this paper will be useful in understanding the XML processing characteristics and may serve as a useful first step to identifying potential hardware/software optimizations for improved future performance.