20 papers · ranked by Valyu relevance
Lin Wang, Depei Qian, Zhongzhi Luan, Guang Wei + 3 more
Workload consolidation is a common method to increase resource utilization of the clusters or data centers while still trying to ensure the performance of the workloads. In order to get the maximum benefit from workload consolidation, the task scheduler has to understand the runtime characteristics of the individual…
Seonghyeon Kim, Jaesik Yang, Devakirubakaran Samithas
Vehicle drivability, defined as the smooth operation and stability of a vehicle in response to driver inputs, significantly influences the performance of passenger cars. Among various driving conditions, tip-in acceleration is one of the most frequently encountered and crucial factors affecting drivability. This study…
Ziyang Xu, Yebin Chon, Yian Su, Zujun Tan + 3 more
'Simone Campanoni' 'David I. August'] Memory profiling captures programs' dynamic memory behavior, assisting programmers in debugging, tuning, and enabling advanced compiler optimizations like speculation-based automatic parallelization. As each use case demands its unique program trace summary, various memory profiler…
Nathan Miguens, Franck Brocherie, Loïc Moulié, Patrick Milhet + 4 more
'Mathieu Bon' 'Pierre Lassus' 'Jean-François Toussaint' 'Adrien Sedeaud'] Background Recently a proof-of-concept was proposed to derive the soccer players’ individual in-situ acceleration-speed (AS) profile from global positioning system (GPS) data collected over several sessions and games. The present study aimed to…
Yatish Turakhia, Kevin Jie Zheng, Gill Bejerano, William J. Dally
Genomics is set to transform medicine and our understanding of life in fundamental ways. But the growth in genomics data has been overwhelming - far outpacing Moore's Law. The advent of third generation sequencing technologies is providing new insights into genomic contribution to diseases with complex mutation events…
Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck + 4 more
'Zhongkai Yu' 'Yufei Ding' 'Adnan Aziz'] In this work, we propose KPerfIR, a novel multilevel compilercentric infrastructure to enable the development of customizable, extendable, and portable profiling tools tailored for modern artificial intelligence (AI) workloads on modern GPUs. Our approach integrates profiling…
Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman + 3 more
'Seth Lenetsky' 'Marc Klimstra' 'Michael E. Hahn'] Background: Accurate linear sprint modelling is essential for evaluating athletes’ performance, particularly in terms of force, power, and velocity capabilities. Radar sensors have emerged as a critical tool in capturing precise velocity data, which is fundamental for…
Lukasz Szyrwiel, Christoph Gille, Michael Mülleder, Vadim Demichev + 1 more
Increased throughput in proteomic experiments can improve accessibility of proteomic platforms, reduce costs and facilitate new approaches in systems biology and biomedical research. Here we propose Speedy-PASEF, a combination of analytical flow rate chromatography with ion mobility separation of peptide ions…
Tyler N. Wise, Margot A. B. Schwalbe, Eric D. Tytell
Bluegill sunfish accelerate primarily by increasing the total amount of force produced in each tail beat but not by substantially redirecting forces. In their natural habitat, fish rarely swim steadily. Instead they frequently accelerate and decelerate. Relatively little is known about how fish produce extra force for…
Exequiel Porta, Karunakaran Kalesh, Jaime Isern, Patrick Steel
Identifying new enzymes and gaining insights into their mode of action (and inhibition) is a critical step in drug discovery. In this chapter, we describe a novel methodology that accelerates this process by combining the precision of Activity-Based Protein Profiling (ABPP) with the efficiency of microplate assay…
Rajendra Patel
Embedded Systems combine one or more processor cores with dedicated logic running on an ASIC or FPGA to meet design goals at reasonable cost. It is achieved by profiling the application with variety of aspects like performance, memory usage, cache hit versus cache miss, energy consumption, etc. Out of these…
Ray Chang, Manu Prakash
Many single-celled organisms and specialized cell types can surprisingly achieve speed and acceleration significantly faster than multicellular counterparts. These remarkable cellular machines must integrate energy storage and amplification in actuation, latches for triggered release, and energy dissipation without…
André Merzky, Ming Tai Ha, Matteo Turilli, Shantenu Jha
Motivated by the need to emulate workload execution characteristics on highperformance and distributed heterogeneous resources, we introduce Synapse. Synapse is used as a proxy application (or "representative application") for real workloads, with the advantage that it can be tuned in different ways and dimensions, and…
Jesse A Sharp, Kevin Burrage, Matthew J Simpson
Optimal control theory provides insight into complex resource allocation decisions. The forward-backward sweep method (FBSM) is an iterative technique commonly implemented to solve two-point boundary value problems (TPBVPs) arising from the application of Pontryagin’s Maximum Principle (PMP) in optimal control. In this…
Authors not listed
Range anxiety remains a major concern for electric vehicle (EV) drivers due to unpredictable charge usage influenced by terrain and user behavior variations. To address this issue, we propose a data-driven approach to provide accurate trip-specific battery consumption for EV drivers. First, we present a new…
André Merzky, Shantenu Jha
—We introduce Synapse motivated by the needs to estimate and emulate workload execution characteristics on highperformance and distributed heterogeneous resources. Synapse has a platform independent application profiler, and the ability to emulate profiled workloads on a variety of heterogeneous resources. Synapse is…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Shijie Yu, Hailong Yang, Rui Wang, Zhongzhi Luan + 2 more
'Xiaosong Hu'] As the energy consumption has been surging in an unsustainable way, it is important to understand the impact of existing architecture designs from energy efficiency perspective, which is especially valuable for High Performance Computing (HPC) and datacenter environment hosting tens of thousands of…
Authors not listed
Bespoke formation of Batteries offers improved lifetime and performance but is generally associated with long processing times, high cost, and large floorspace. Facile strategies like heating or increasing the formation current, as well as current alterations during formation have their limits in speed up and…
Brent Yoon, Vishvak Raghavan, Jun Ding
RNA velocity enables inference of cell state transitions from single-cell transcriptomics by modeling transcriptional dynamics from spliced and unspliced mRNA. However, existing methods overlook spatial context and struggle to scale to large datasets, limiting insights into tissue organization and dynamic processes. We…