activity
20102016
most citedBenchmarking Concurrent Priority Queues: Performance of k-LSM and Related Data Structures

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2016★ 3 cited

Benchmarking Concurrent Priority Queues: Performance of k-LSM and Related Data Structures

Jakob Gruber, Jesper Larsson Träff, Martin Wimmer

A number of concurrent, relaxed priority queues have recently been proposed and implemented. Results are commonly reported for a throughput benchmark that uses a uniform distributi…

cs.DS2015

The Lock-free -LSM Relaxed Priority Queue

Martin Wimmer, Jakob Gruber, Jesper Larsson Träff +1

Priority queues are data structures which store keys in an ordered fashion to allow efficient access to the minimal (maximal) key. Priority queues are essential for many applicatio…

cs.DS2014

An improved, easily computable combinatorial lower bound for weighted graph bipartitioning

Jesper Larsson Träff, Martin Wimmer

There has recently been much progress on exact algorithms for the (un)weighted graph (bi)partitioning problem using branch-and-bound and related methods. In this note we present an…

cs.DC2013

Data Structures for Task-based Priority Scheduling

Martin Wimmer, Daniel Cederman, Francesco Versaci +2

Many task-parallel applications can benefit from attempting to execute tasks in a specific order, as for instance indicated by priorities associated with the tasks. We present thre…

cs.DC2013★ 1 cited

Configurable Strategies for Work-stealing

Martin Wimmer, Daniel Cederman, Jesper Larsson Träff +1

Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. For instance, they do not know or take into account how long a task will take to execu…

cs.DC2010★ 1 cited

Work-stealing for mixed-mode parallelism by deterministic team-building

Martin Wimmer, Jesper Larsson Träff

We show how to extend classical work-stealing to deal also with data parallel tasks that can require any number of threads r >= 1 for their execution. We explain in detail the so i…