We propose a low-overhead sampling infrastructure for gathering information from the
executions experienced by a program's user community. Several example applications …

Future high-performance virtual machines will improve performance through sophisticated
online feedback-directed optimizations. this paper presents the architecture of the Jalapeño …

Instrumenting code to collect profiling information can cause substantial execution
overhead. This overhead makes instrumentation difficult to perform at runtime, often …

Optimizing performance inefficiencies in memory hierarchies is well-known for native
languages, such as C and C++. There are few studies, however, on exploring memory …

Debugging does not end with deployment. Static analysis, in-house testing, and good
software engineering practices can catch or prevent many problems before software is …

With processor speed increasing much more rapidly than memory access speed, memory
system optimizations have the potential to significantly improve program performance …

Calling context profiles are used in many inter-procedural code optimizations and in overall
program understanding. Unfortunately, the collection of profile information is highly intrusive …

Reuse signature, or reuse distance pattern, is an accurate model for program memory
accessing behaviors. It has been studied and shown to be effective in program analysis and …

Call path profiling associates resource consumption with the calling context in which
resources were consumed. We describe the design and implementation of a low-overhead …

This paper describes extensions to Rice University's HPCToolkit performance tools to
support measurement and analysis of GPU-accelerated applications. To help developers …