Results 61 to 70 of about 1,063 (218)
Augury and Forerunner: Real‐Time Feedback Via Predictive Numerical Optimization and Input Prediction
Transient information generated by solver steps can inform future objective function minimization. In Augury, we explore the impact of predictive numerical optimization by using solver history to predict future minimization solutions, reducing computational resources needed to arrive at convergent states for a broad class of gradient‐based optimization
J. Graus, Y. Gingold
wiley +1 more source
SUMMARY Whereas genome sequencing and assembly technologies are improving, cost can still be prohibitive for plant species with large, complex genomes. As a consequence, genomics work on some taxa in evolutionarily pivotal positions in the vascular plant tree of life has been hampered.
Kevin Karbstein +15 more
wiley +1 more source
Data prefetching is crucial for hiding long-latency memory access on modern high-performance processors. Machine learning (ML)-based data prefetchers have demonstrated superior address prediction performance compared with traditional rule-based ...
Chang Ho Ryu, Tae Hee Han
doaj +1 more source
Abstract Propagation‐based imaging (one method of X‐ray phase contrast imaging) with microcomputed tomography (PBI‐µCT) offers the potential to visualise low‐density materials, such as soft tissues and hydrogel constructs, which are difficult to be identified by conventional absorption‐based contrast µCT.
Xiao Fan Ding +6 more
wiley +1 more source
ABSTRACT Fish exhibit a diverse array of reproductive strategies adapted to various ecological niches. Parental egg‐care, including live‐bearing, mouth‐brooding, and male egg protection by brood pouches, represents an effective strategy for ensuring larval survival and has emerged independently in multiple lineages.
Tatsuki Nagasawa +5 more
wiley +1 more source
StriPre: A VM Disk Migration Prefetching Algorithm
Virtual machine (VM) cross-cloud migration involves relocating virtual machine instances between different cloud environments, offering advantages such as improved scalability, disaster recovery capabilities, and efficient resource allocation ...
Yuchi Chen, Tianlei Xiong
doaj +1 more source
Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies
ABSTRACT Over the last ten years, graphics processors have become the de facto accelerator for data‐parallel tasks in various branches of high‐performance computing, including machine learning and computational sciences. However, with the recent introduction of AMD‐manufactured graphics processors to the world's fastest supercomputers, tuning ...
Johannes Pekkilä +3 more
wiley +1 more source
Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks
Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources
Qing Zhu +9 more
doaj +1 more source
Bamboozle: A Bioinformatic Tool for Identification and Quantification of Intraspecific Barcodes
ABSTRACT Evolutionary changes in populations of microbes, such as microalgae, cannot be traced using conventional metabarcoding loci as they lack intraspecific resolution. Consequently, selection and competition processes among strains of the same species cannot be resolved without elaborate isolation, culturing, and genotyping efforts.
Matthew I. M. Pinder +5 more
wiley +1 more source
Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP
Due to the fact that proxy-driven proxy cache management and the client-driven streaming solution of Dynamic Adaptive Streaming over HTTP (DASH) are two independent processes, some difficulties and challenges arise in media data management at the proxy ...
Chenghao Liu +2 more
doaj +1 more source

