High-Performance Distributed RMA Locks Patrick Schmid∗ Maciej Besta∗ Torsten Hoefler

Source URL: htor.inf.ethz.ch

Design of Parallel and High Performance Computing HS 2015 Torsten Hoefler, Markus P¨ uschel Department of Computer Science ETH Zurich

Source URL: spcl.inf.ethz.ch

Torsten Franz, TU Braunschweig, Institut für Fachdidaktik der Naturwissenschaften Quanteninformation für die Schule Die Quanteninformation ist ein modernes Themenfeld der Quantenphysik, bei der das Verarbeiten und Üb

Source URL: www.heisenberg-gesellschaft.de

The What, Who and How of Delivering Results Addressing a few key questions will change your perspective and raise your odds of success. By Alan Bird, Torsten Lichtenau and David Michels

Source URL: www.bain-company.ch

Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition – Supplementary Material Torsten Sattler1 , Michal Havlena2 , Filip Radenovi´c3 , Konrad Schindler2 , Marc Pollefeys1 1 Department of Computer Sci

Source URL: cvg.ethz.ch

XQuery on SQL Hosts Torsten Grust U Konstanz, Database Research Group S. Margherita di Pula—Sardinia, September 2004

Source URL: edbtss04.dia.uniroma3.it

Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing Jens Domke Torsten Hoefler

Source URL: htor.inf.ethz.ch

Design of Parallel and High Performance Computing HS 2014 Torsten Hoefler, Markus P¨ uschel Department of Computer Science ETH Zurich

Source URL: spcl.inf.ethz.ch

Design of Parallel and High-Performance Computing Fall 2013 Lecture: Amdahl’s Law Instructor: Torsten Hoefler & Markus Püschel

Source URL: spcl.inf.ethz.ch

Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli

Source URL: spcl.inf.ethz.ch

• Statistics
• Descriptive statistics
• Means
• Summary statistics
• Median
• Normal distribution
• Standard deviation
• Geometric mean
• Data transformation
• Mode
• Confidence interval
• Central tendency