23 papers · ranked by Valyu relevance
Aurélien Delval, Pablo de Oliveira Castro, William Jalby, Étienne Renault
Bottleneck evaluation plays a crucial part in performance tuning of HPC applications, as it directly influences the search for optimizations and the selection of the best hardware for a given code. In this paper, we introduce a new model-agnostic, instruction-accurate framework for bottleneck analysis based on…
Hugo Pompougnac, Alban Dutilleul, Christophe Guillon, Nicolas Derumigny + 1 more
'Nicolas Derumigny' 'Fabrice Rastello'] We provide an in-depth overview of performance bottlenecks in recent OoO microarchitectures and describe the difficulties of detecting them. Techniques that measure resources utilization can offer a good understanding of a program's execution, but, due to the constraints inherent…
Johannes Hofmann, Jan Eitzinger, Dietmar Fey
—This report serves two purposes: To introduce and validate the Execution-Cache-Memory (ECM) performance model and to provide a thorough analysis of current Intel processor architectures with a special emphasis on Intel Xeon Haswell-EP. The ECM model is a simple analytical performance model which focuses on basic…
André J. Szameitat, Azonya Vanloo, Hermann J. Müller
Human information processing suffers from severe limitations in parallel processing. In particular, when required to respond to two stimuli in rapid succession, processing bottlenecks may appear at central and peripheral stages of task processing. Importantly, it has been suggested that executive functions are needed…
André J. Szameitat
Human multitasking suffers from a central attentional bottleneck preventing parallel performance of central mental operations, leading to profound deferments in task performance. While previous research assumed that the deferment is caused by a mere waiting time (refractory period), we show that the bottleneck requires…
Alicia Lozano-Diez, Ruben Zazo, Doroteo T. Toledano, Joaquin Gonzalez-Rodriguez + 1 more
'Joaquin Gonzalez-Rodriguez' 'Juan Tu'] Language recognition systems based on bottleneck features have recently become the state-of-the-art in this research field, showing its success in the last Language Recognition Evaluation (LRE 2015) organized by NIST (U.S. National Institute of Standards and Technology). This…
Ranya Sharma, Marc Richardson, Guilherme Martins, Nick Feamster
As broadband Internet speeds continue to increase, the home wireless ("WiFi") network may more frequently become a performance bottleneck. Past research, now nearly a decade old, initially documented this phenomenon through indirect inference techniques, noting the prevalence of WiFi bottlenecks but never directly…
Jan Treibig, Georg Hager, Gerhard Wellein
Many tools and libraries employ hardware performance monitoring (HPM) on modern processors, and using this data for performance assessment and as a starting point for code optimizations is very popular. However, such data is only useful if it is interpreted with care, and if the right metrics are chosen for the right…
Rico Fischer, Franziska Plessow
In the context of performance optimizations in multitasking, a central debate has unfolded in multitasking research around whether cognitive processes related to different tasks proceed only sequentially (one at a time), or can operate in parallel (simultaneously). This review features a discussion of theoretical…
Francesco Cremonesi, Felix Schürmann
Computational modeling and simulation have become essential tools in the quest to better understand the brain’s makeup and to decipher the causal interrelations of its components. The breadth of biochemical and biophysical processes and structures in the brain has led to the development of a large variety of model…
Authors not listed
Molecular Dynamics (MD) simulations are essential for studying the time evolution of molecular systems. Still, their efficiency is often bottlenecked by file-based Inter-Process Communication (IPC) between MD and Electronic Structure (ES) programs. We present a socket-based IPC implementation that dramatically…
Rick den Otter, Anna Dame, Sjoerd Stuit, Leendert van Maanen
Theories of dual-task interference assume that the same cognitive operations underlie multitasking regardless of stimulus timing, yet this core assumption has remained untested due to methodological limitations of behavioral averaging. Here, we combine hidden multivariate pattern (HMP) analysis with deep spatiotemporal…
Diego Mac-Auliffe, Benoit Chatard, Mathilde Petton, Anne-Claire Croizé + 7 more
Dual-tasking is extremely prominent nowadays, despite ample evidence that it comes with a performance cost: the Dual-Task (DT) cost. Neuroimaging studies have established that tasks are more likely to interfere if they rely on common brain regions, but the precise neural origin of the DT cost has proven elusive so far…
Debaleena Basu, Naveen Sendhilnathan, Aditya Murthy
A ramp to threshold activity of frontal Eye Field (FEF) movement-related neurons best explains the reaction time of single saccades. How such activity is modulated by a concurrent saccade plan is not known. Borrowing from psychological theories of capacity sharing that are designed to explain the concurrent planning of…
Alexei Koulakov, Sergey Shuvaev, Divyansha Lachi, Anthony Zador
Animals are born with extensive innate behavioral capabilities, which arise from neural circuits encoded in the genome. However, the information capacity of the genome is orders of magnitude smaller than that needed to specify the connectivity of an arbitrary brain circuit, indicating that the rules encoding circuit…
Drew E. Winters
Studying flexible, adaptive transitions between cognitive tasks and serial-parallel processing under changing task demands has been a central focus for understanding human cognition. Advances in neuroimaging analysis have improved the ability to link cognition with brain function, providing a foundation for developing…
Vivek Basavegowda Ramu
- PerfDetectiveAI, a conceptual framework for performance gap analysis and suggestion in software applications is introduced in this research. For software developers, retaining a competitive edge and providing exceptional user experiences depend on maximizing application speed. But investigating cutting-edge…
Nastaran Khodaparastasgarabad, Manon Couture, Jesse Greener
To target development of bioelectrochemical systems, we developed an advanced microfluidic method to identify reaction bottlenecks in the metabolic activity of a pure-culture Geobacter sulfurreducens electroactive biofilm (EAB). The microfluidic system was devised to include perpendicular flow orientation for improved…
Daniel Etiemble
MOS technologies obey an empirical law, stated in 1965 and known as Moore's law: the number of transistors integrated on a chip doubles every N months. Fig. 1 presents the evolution for DRAM memories, processors (MPU) and three types of readonly memories [1]. The growth rate decreases with years, from a doubling every…
Authors not listed
Redox-mediated flow batteries (RMFBs), an emerging subclass of redox flow batteries (RFBs), incorporate solid active materials into the tanks to dramatically increase theoretical energy density, albeit currently at the expense of design and operational simplicity. Using physics-based models, we assess the performance…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…
Elliot Xie, Lingxin Cheng, Yujia Cai, Jack Shireman + 1 more
Performance bottlenecks in widely used genomics and bioinformatics software present a substantial and growing burden as biological datasets continue to increase in size and number. Relieving these bottlenecks relies largely on expert manual optimization and therefore remains difficult to scale. Here we present…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…