30 citations · 56 across the 7 of their papers we have counts for
8 papers
Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder
Wenguang Xu, Giovanni Lucente, Karem Mohamed +1
Trajectory planning is a core component of autonomous driving systems, where real-time performance and solution quality directly affect safety and reliability. Sample-Based Motion…
XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments
Manuela Schuler, Richard Membarth, Philipp Slusallek
Memory efficiency is crucial in training deep learning networks on resource-restricted devices. During backpropagation, forward tensors are used to calculate gradients. Despite the…
AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs
André Müller, Bertil Schmidt, Richard Membarth +2
In recent years, the rapidly increasing number of reads produced by next-generation sequencing (NGS) technologies has driven the demand for efficient implementations of sequence al…
FLOWER: A comprehensive dataflow compiler for high-level synthesis
Puya Amiri, Arsène Pérard-Gayot, Richard Membarth +3
FPGAs have found their way into data centers as accelerator cards, making reconfigurable computing more accessible for high-performance applications. At the same time, new high-lev…
tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations
Rafael Ravedutti L. Machado, Jonas Schmitt, Sebastian Eibl +6
This paper investigates the suitability of the AnyDSL partial evaluation framework to implement tinyMD: an efficient, scalable, and portable simulation of pairwise interactions amo…
Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance
Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull +5
Due to the current developments towards autonomous driving and vehicle active safety, there is an increasing necessity for algorithms that are able to perform complex criticality p…