Traff, Jesper Larsson
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1

Exploring Mapping Strategies for Co-allocated HPC Applicati..:

, In: Lecture Notes in Computer Science; Euro-Par 2023: Parallel Processing Workshops,
 
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2

Preliminary Performance and Memory Access Scalability Study..:

, In: 2023 IEEE Nordic Circuits and Systems Conference (NorCAS),
 
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3

Using Mixed-Radix Decomposition to Enumerate Computational ..:

, In: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis,
 
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5

Uniform Algorithms for Reduce-scatter and (most) other Coll..:

, In: 2023 IEEE International Conference on Cluster Computing (CLUSTER),
 
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6

Library Development with MPI: Attributes, Request Objects, ..:

, In: Proceedings of the 30th European MPI Users' Group Meeting,
 
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7

mpisee: MPI Profiling for Communication and Communicator St..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
 
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8

Brief Announcement : Fast(er) Construction of Round-opti..:

, In: Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures,
Träff, Jesper Larsson - p. 143-146 , 2022
 
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9

An Overhead Analysis of MPI Profiling and Tracing Tools:

, In: Proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy,
 
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10

Fast(er) Construction of Round-optimal $n$-Block Broadcast ..:

, In: 2022 IEEE International Conference on Cluster Computing (CLUSTER),
Traff, Jesper Larsson - p. 142-151 , 2022
 
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12

Performance and programmability comparison of the thick con..:

Forsell, Martti ; Nikula, Sara ; Roivainen, Jussi..
The Journal of Supercomputing.  78 (2021)  3 - p. 3152-3183 , 2021
 
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13

A more pragmatic implementation of the lock-free, ordered, ..:

, In: Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Träff, Jesper Larsson ; Pöter, Manuel - p. 457-459 , 2021
 
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15

Efficient Process-to-Node Mapping Algorithms for Stencil Co..:

, In: 2020 IEEE International Conference on Cluster Computing (CLUSTER),
 
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