18 papers · ranked by Valyu relevance
Kathleen West, Vasilis Bountris, Philipp Thamm, Ulf Leser + 2 more
Scientific workflows are widely used to process large quantities of data, leading to significant energy consumption and carbon emissions. To reduce this environmental impact, energy and carbon-aware scheduling approaches could be employed. However, such methods require runtime and energy predictions, which are…
Jiaqi Sun, Dingyu Yang, Shiyou Qian, Jian Cao + 1 more
a Department of Computer Science, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, Shanghai, China b Shanghai Key Laboratory of Trusted Data Circulation and Governance in Web3, 800 Dongchuan RD, Shanghai, 200240, Shanghai, China c The State Key Laboratory of Blockchain and Data Security, Zhejiang…
Marcus R. Watson, Nathan Traczewski, Seema Dunghana, Kianoush Banaie Boroujeni + 3 more
Understanding the neurobiological substrates of psychiatric disorders requires comprehensive evaluations of cognitive and motivational functions in preclinical research settings. The translational validity of such evaluations will be supported by (1) tasks with high construct validity that are engaging and easy to…
Andrea Morichetta, Stefan Nastic, Victor Casamayor Pujol, Schahram Dustdar
'Schahram Dustdar'] We present and formalize a general approach for profiling workload by leveraging only a priori available static metadata to supply appropriate resource needs. Understanding the requirements and characteristics of a workload's runtime is essential. Profiles are essential for the platform (or…
Varik Hoang, Ling-Hong Hung, David Perez, Huazeng Deng + 4 more
A key feature of the Container Profiler is the ability to capture container-level metrics to describe resource utilization of only the containerized task(s). We expect these metrics to be similar and that they could differ given that the VM/host-level metrics also encompass resources being used by processes running on…
Usman Mahmood Malik, Muhammad Awais Javed, Jaroslav Frnda, Jan Rozhon + 2 more
'Jan Rozhon' 'Wali Ullah Khan' 'Antonio Corradi'] Fog computing is one of the major components of future 6G networks. It can provide fast computing of different application-related tasks and improve system reliability due to better decision-making. Parallel offloading, in which a task is split into several sub-tasks…
Mohammad Pivezhandi, Mahdi Banisharif, Abusayeed Saifullah, Ali Jannesari
Dynamic voltage and frequency scaling (DVFS) and task-to-core allocation are critical for thermal management and balancing energy and performance in embedded systems. Existing approaches either rely on utilization-based heuristics that overlook stall times, or require extensive offline profiling for table generation…
Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta + 1 more
'Nicola Calabretta' 'George Exarchakos'] Edge computing is an emerging approach that enables applications to run closer to users, accommodating their specific execution time requirements. Edge computing systems typically consist of heterogeneous processing and networking components, resulting in inconsistent task…
Hosein Fooladi, Steffen Hirte, Johannes Kirchmair
Today, machine learning methods are widely employed in drug discovery. However, the chronic lack of data continues to hamper their further development, validation, and application. Several modern strategies aim to mitigate the challenges associated with data scarcity by learning from data on related tasks. These…
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…
Xuan Wen, Leo Malchin, Adam Neumann, Thilo Womelsdorf
Executive functions comprise at least four major subdomains: Inhibitory Control, Updating, Shifting, and Working Memory. Cognitive abilities in these subdomains are partially separable and partially unified in a common cognitive control factor in humans, but how these functions are organized in the nonhuman primate…
Nasim Jamali, Callum Tromans-Coia, Hamdah Shafqat Abbasi, Kenneth A. Giuliano + 13 more
Quantitative microscopy is a powerful method for performing phenotypic screens, from which image-based profiling can extract a wealth of information, termed profiles. These profiles can be used to elucidate the changes in cellular phenotypes across cell populations from different patient samples or following genetic or…
Matthew Lewis, Elena Chekmeneva, Stephane Camuzeaux, Caroline Sands + 11 more
Metabolomics utilising liquid chromatography mass spectrometry (LC-MS) offers biomedical researchers a powerful means of assessing and comparing human phenotypes via measurement of the metabolome in biological samples. Platforms for LC-MS-based global profiling quantify hundreds or thousands of small molecule…
Ivan Grahek, Xiamin Leng, Sebastian Musslick, Amitai Shenhav
The ability to switch between goals is the cornerstone of human cognition and behavior. Cognitive control allows for rapid adjustments of cognition in accordance with new goals, but control adjustments come at a cost. This cost is traditionally studied in situations that demand changes to one’s task, without…
Shadman Sakib, Ajay Katangur, Rahul Dubey
—Cloud computing has grown rapidly in recent years, mainly due to the sharp increase in data transferred over the internet. This growth makes load balancing a key part of cloud systems, as it helps distribute user requests across servers to maintain performance, prevent overload, and ensure a smooth user experience.…
Yuqiu Yang, Kaiwen Wang, Yike Shen, Jon A Weidanz + 2 more
Extracting meaningful biological signals from Cytometry by time-of-flight (CyTOF) data remains challenging due to heterogeneity, data characteristics, and the presence of various technical artifacts. Current analysis workflows typically rely on task-specific tools assembled into pipelines, which often make inconsistent…
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capotă + 3 more
'Theodore L. Willke' 'Shahin Nazarian' 'Paul Bogdan'] Recent technological advances have contributed to the rapid increase in algorithmic complexity of applications, ranging from signal processing to autonomous systems. To control this complexity and endow heterogeneous computing systems with autonomous programming and…
Amir Ayupov, Maksim Panchenko, Sergey Pupyrev
Profile-guided optimizations rely on profile data for directing compilers to generate optimized code. To achieve the maximum performance boost, profile data needs to be collected on the same version of the binary that is being optimized. In practice however, there is typically a gap between the profile collection and…