TY - GEN
T1 - InHouse --- A User-Oriented Monitoring Approach
AU - Kotsis, Gabriele
AU - Haring, Günter
AU - Musil, S.
PY - 1996
Y1 - 1996
N2 - In this paper we present a new approach for monitoring and visualization of parallel processing systems. Instead of measuring the system and presenting to the user a variety of performance figures and visualization displays afterwards, in this user-oriented approach the events and features of interest may be selected before instrumentation and measurements. Different techniques for this a priori filtering of events are provided, ranging from a direct manipulative selection in a graphical, hierarchical representation of the program and the architecture, to a textual, rule based selection. Real-Life Metaphors in visualization make this approach particularly suited for so called novice (i.e. non-expert) users, thus suggesting teaching as one of the major fields of application.
AB - In this paper we present a new approach for monitoring and visualization of parallel processing systems. Instead of measuring the system and presenting to the user a variety of performance figures and visualization displays afterwards, in this user-oriented approach the events and features of interest may be selected before instrumentation and measurements. Different techniques for this a priori filtering of events are provided, ranging from a direct manipulative selection in a graphical, hierarchical representation of the program and the architecture, to a textual, rule based selection. Real-Life Metaphors in visualization make this approach particularly suited for so called novice (i.e. non-expert) users, thus suggesting teaching as one of the major fields of application.
UR - https://www.scopus.com/pages/publications/85068226629
U2 - 10.1109/EMPDP.1996.500622
DO - 10.1109/EMPDP.1996.500622
M3 - Conference proceedings
SN - 0-8186-7376-1
T3 - Proceedings of 4th Euromicro Workshop on Parallel and Distributed Processing, PDP 1996
SP - 478
EP - 485
BT - Proceedings of the 4th Europmicro Workshop on Parallel and Distributed Computing
PB - IEEE Computer Society Press
ER -