Results 21 to 30 of about 449 (143)
A highly efficient multi-core algorithm for clustering extremely large datasets
BMC Bioinformatics, 2010 Background In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput technologies. This demand is likely to increase.
Kraus Johann M, Kestler Hans A
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Big Data Management: What to Keep from the Past to Face Future Challenges?
Data Science and Engineering, 2017 The emergence of new hardware architectures, and the continuous production of data open new challenges for data management. It is no longer pertinent to reason with respect to a predefined set of resources (i.e., computing, storage and main memory ...
G. Vargas-Solar +2 more
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Exploiting hardware transactional memory in main-memory databases [PDF]
2014 IEEE 30th International Conference on Data Engineering, 2014 So far, transactional memory—although a promising technique—suffered from the absence of an efficient hardware implementation. The upcoming Haswell microarchitecture from Intel introduces hardware transactional memory (HTM) in mainstream CPUs. HTM allows for efficient concurrent, atomic operations, which is also highly desirable in the context of ...
Viktor Leis +2 more
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A research on GPU transactional memory
大数据, 2020 GPU is one of the important architectures in parallel computing,however,when dealing with high data racing scenarios,programmers often need to design complex parallel schemes.In order to simplify this process,GPU transactional memory implements complex ...
Yuzhe LIN, Weihua ZHANG
doaj
Hardware transactional memory system for parallel programming [PDF]
2008 13th Asia-Pacific Computer Systems Architecture Conference, 2008 Hardware transactional memory (HTM) is an attractive research topic in recent years. It has great potential to simplify parallel programming on the soon-to-be-ubiquitous multi-core systems. In this paper, a HTM design is proposed, and overall performance is evaluated. This HTM design distinguishes itself from others by its best effort philosophy.
Huayong Wang, Rui Hou, Kun Wang
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Corporate Decarbonization via Technology and Management
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
International Journal of Finance &Economics, EarlyView.ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
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VMM emulation of Intel hardware transactional memory [PDF]
Proceedings of the 4th International Workshop on Runtime and Operating Systems for Supercomputers, 2014 We describe the design, implementation, and evaluation of emulated hardware transactional memory, specifically the Intel Haswell Restricted Transactional Memory (RTM) architectural extensions for x86/64, within a virtual machine monitor (VMM). Our system allows users to investigate RTM on hardware that does not provide it, debug their RTM-based ...
Maciej Swiech +2 more
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T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking
SmartBot, EarlyView.Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo +7 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
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