23 citations · 32 across the 7 of their papers we have counts for
7 papers
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU
Luk Burchard, Max Xiaohang Zhao, Johannes Langguth +2
Dedicated accelerator hardware has become essential for processing AI-based workloads, leading to the rise of novel accelerator architectures. Furthermore, fundamental differences…
A Newcomer In The PGAS World -- UPC++ vs UPC: A Comparative Study
Jérémie Lagravière, Johannes Langguth, Martina Prugger +2
A newcomer in the Partitioned Global Address Space (PGAS) 'world' has arrived in its version 1.0: Unified Parallel C++ (UPC++). UPC++ targets distributed data structures where comm…
Load-Balanced Bottleneck Objectives in Process Mapping
Johannes Langguth, Sebastian Schlag, Christian Schulz
We propose a new problem formulation for graph partitioning that is tailored to the needs of time-critical simulations on modern heterogeneous supercomputers.
Performance optimization and modeling of fine-grained irregular communication in UPC
Jérémie Lagravière, Johannes Langguth, Martina Prugger +3
The UPC programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory sub-systems. One convenient feature of UPC…
On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures
Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri +2
Using large-scale multicore systems to get the maximum performance and energy efficiency with manageable programmability is a major challenge. The partitioned global address space…
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah +4
In this paper we present our methods for the MediaEval 2019 Mul-timedia Satellite Task, which is aiming to extract complementaryinformation associated with adverse events from Soci…