With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring perf
Introduction. Parallel Computer Architecture. Software Interfaces to Hardware Counters. Measurement and Analysis of Parallel Program Performance using TAU and HPCToolkit. Trace-Based Tools. Large-Scale Numerical Simulations on High-End Computational Platforms. Performance Modeling: The Convolution Approach. Analytic Modeling for Memory Access Patterns Based on Apex-MAP. The Roofline Model. End-to-End Auto-Tuning with Active Harmony. Languages and Compilers for Auto-Tuning. Empirical Performance Tuning of Dense Linear Algebra Software. Auto-Tuning Memory-Intensive Kernels for Multicore. Flexible Tools Supporting a Scalable First-Principles MD Code. The Community Climate System Model. Tuning an Electronic Structure Code. Bibliography. Index.