The Tau Parallel Performance System

By Sameer Suresh Shende, Allen D. Malony. The international journal of high performance computing applications, 2006

1,297 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/a90218cc063ec8f7213743d1089b118fc4f10eaf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. J. Demmel
2. John M. Mellor-Crummey
3. John F. Stanton
4. Devin A. Matthews
5. Edgar Solomonik
6. Jeff R. Hammond
7. K. Yelick

In Hardware and Architecture

1. J. Demmel
2. John M. Mellor-Crummey
3. John F. Stanton
4. Sameer Suresh Shende
5. Devin A. Matthews
6. Edgar Solomonik
7. Jeff R. Hammond
8. K. Yelick

Citations in the corpus

• HPCTOOLKIT: tools for performance analysis of optimized parallel programs (2010, methodology): “Although other tools [14, 28, 36] collect calling contexts, HPCTOOLKIT is unique in supporting both call path profiling and call path tracing.”
• A massively parallel tensor contraction framework for coupled-cluster computations (2014, methodology): “Performance profiling is done by hand and with TAU [48].”
• The Vampir Performance Analysis Tool-Set (2008, methodology): “It visualizes the program execution by means of event traces, gathered by monitoring software like KOJAK, TAU, or VampirTrace [16, 14, 20].”
• Terascale direct numerical simulations of turbulent combustion using S3D (2008, methodology): “We performed a detailed performance analysis of runs on heterogeneous allocations using TAU [18].”