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- research-articleSeptember 2024JUST ACCEPTED
Access Characteristic-Guided Remote Swapping Across Mobile Devices
ACM Transactions on Architecture and Code Optimization (TACO), Just Accepted https://doi.org/10.1145/3695870Memory swapping ensures smooth application switching for mobile systems by caching applications in the background. To further play the role of memory swapping, remote swapping across mobile devices has been widely studied, which caches applications to ...
- research-articleNovember 2024
ElasticZRAM: Revisiting ZRAM for Swapping on Mobile Devices
DAC '24: Proceedings of the 61st ACM/IEEE Design Automation ConferenceArticle No.: 201, Pages 1–6https://doi.org/10.1145/3649329.3655943Modern mobile devices adopt two-level memory swapping consisting of ZRAM and storage devices to relieve memory pressure. In the swap subsystem, ZRAM can improve application responsiveness and reduce write traffic to storage devices while consuming ...
- research-articleFebruary 2024
Box2Mask: Box-Supervised Instance Segmentation via Level-Set Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 46, Issue 7Pages 5157–5173https://doi.org/10.1109/TPAMI.2024.3363054In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted increasing research attention. This paper presents a novel single-shot ...
- research-articleMay 2024
Label-efficient segmentation via affinity propagation
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsArticle No.: 1302, Pages 29901–29913Weakly-supervised segmentation with label-efficient sparse annotations has attracted increasing research attention to reduce the cost of laborious pixel-wise labeling process, while the pairwise affinity modeling techniques play an essential role in this ...
- research-articleSeptember 2023
IOSR: Improving I/O Efficiency for Memory Swapping on Mobile Devices Via Scheduling and Reshaping
ACM Transactions on Embedded Computing Systems (TECS), Volume 22, Issue 5sArticle No.: 129, Pages 1–23https://doi.org/10.1145/3607923Mobile systems and applications are becoming increasingly feature-rich and powerful, which constantly suffer from memory pressure, especially for devices equipped with limited DRAM. Swapping inactive DRAM pages to the storage device is a promising ...
- research-articleMarch 2023
Improving Nighttime Driving-Scene Segmentation via Dual Image-Adaptive Learnable Filters
IEEE Transactions on Circuits and Systems for Video Technology (IEEETCSVT), Volume 33, Issue 10Pages 5855–5867https://doi.org/10.1109/TCSVT.2023.3260240Semantic segmentation on driving-scene images is vital for autonomous driving. Although encouraging performance has been achieved on daytime images, the performance on nighttime images are less satisfactory due to the insufficient exposure and the lack of ...
- ArticleOctober 2022
Box-Supervised Instance Segmentation with Level Set Evolution
AbstractIn contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently attracted a lot of research attentions. In this paper, we propose a ...
- ArticleNovember 2019
S3OD: Single Stage Small Object Detector from Scratch for Remote Sensing Images
AbstractSmall object detection is an important but challenge computer vision task in both natural scene and remote sensing scene. Due to the large difference of density, low contrast, sparse texture and arbitrary orientations, many advanced algorithms for ...
- research-articleNovember 2018
Clustering Functionally Similar Genes Based on Genome-Wide Expression Patterns Across Multiple Environments
ICBBE '18: Proceedings of the 2018 5th International Conference on Biomedical and Bioinformatics EngineeringPages 6–10https://doi.org/10.1145/3301879.3301893With the wide application of next-generation sequencing, an enormous amount of DNA and RNA-seq data are being generated for various species. However, the interpretation of gene function falls behind. Using yeast transcriptomic data across multiple ...
- research-articleMay 2018
The Expression of Brain-Type Fatty Acid Binding Protein (FABP7) in Rainbow Trout (Oncorhynchus Mykiss)
ICBBT '18: Proceedings of the 2018 10th International Conference on Bioinformatics and Biomedical TechnologyPages 33–36https://doi.org/10.1145/3232059.3232062The Fatty acid-binding proteins (FABP) is a 14-15kDa intracellular protein which belong to large multigene family of intracellular lipid-binding proteins and play a important role in lipid uptake, transport lipid homeostasis. In this study, the rainbow ...
- research-articleSeptember 2017
The Stability of Reference Genes for Gene Expression Analysis in Onychostoma Macrolepis Infected with Aeromonas Hydrophila
ICBEB 2017: Proceedings of the 2017 International Conference on Biomedical Engineering and BioinformaticsPages 5–10https://doi.org/10.1145/3143344.3143349Quantitative real-time PCR (qRT-PCR) is a highly sensitive, repeatable and high throughput technique for quantifying gene expression from diverse experimental conditions; Reference genes (R-genes) are commonly used to normalise qRT-PCR results. However, ...
- research-articleAugust 2015
Smart Pacing for Effective Online Ad Campaign Optimization
KDD '15: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data MiningPages 2217–2226https://doi.org/10.1145/2783258.2788615In targeted online advertising, advertisers look for maximizing campaign performance under delivery constraint within budget schedule. Most of the advertisers typically prefer to impose the delivery constraint to spend budget smoothly over the time in ...
- research-articleAugust 2012
Estimating conversion rate in display advertising from past erformance data
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningPages 768–776https://doi.org/10.1145/2339530.2339651In targeted display advertising, the goal is to identify the best opportunities to display a banner ad to an online user who is most likely to take a desired action such as purchasing a product or signing up for a newsletter. Finding the best ad ...
- ArticleJune 2008
A Non-blocking Multithreaded Architecture with Support for Speculative Threads
ICA3PP '08: Proceedings of the 8th international conference on Algorithms and Architectures for Parallel ProcessingPages 173–184https://doi.org/10.1007/978-3-540-69501-1_19In this paper we provide both a qualitative and a quantitative evaluation of a decoupled multithreaded architecture that uses non-blocking threads. Our architecture is based on simple in-order pipelines and complete decoupling of memory accesses from ...
- articleDecember 2007
Feasibility of decoupling memory management from the execution pipeline
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 53, Issue 12Pages 927–936https://doi.org/10.1016/j.sysarc.2007.03.003In conventional architectures, the central processing unit (CPU) spends a significant amount of execution time allocating and de-allocating memory. Efforts to improve memory management functions using custom allocators have led to only small ...
- doctoral_thesisJanuary 2007
High performance architecture using speculative threads and dynamic memory management hardware
With the advances in very large scale integration (VLSI) technology, hundreds of billions of transistors can be packed into a single chip. With the increased hardware budget, how to take advantage of available hardware resources becomes an important ...
- research-articleJuly 2006
A Page-based Hybrid (Software-Hardware) Dynamic Memory Allocator
IEEE Computer Architecture Letters (ICAL), Volume 5, Issue 2Page 13https://doi.org/10.1109/L-CA.2006.13Modern programming languages often include complex mechanisms for dynamic memoryallocation and garbage collection. These features drive the need for more efficient implementation of memory management functions, both in terms of memory usage and ...
- articleApril 2006
Tiny split data-caches make big performance impact for embedded applications
This paper shows that even very small data caches, when split to serve data streams exhibiting temporal and spatial localities, can improve performance of embedded applications without consuming excessive silicon real estate or power. It also shows that ...
- ArticleSeptember 2005
Making a case for split data caches for embedded applications
MEDEA '05: Proceedings of the 2005 workshop on MEmory performance: DEaling with Applications , systems and architecturePages 19–26https://doi.org/10.1145/1152779.1147355In this paper we show that cache memories for embedded applications can be designed to increase performance while reduce area and energy consumed. Previously we have shown that separating data cache into an array cache and a scalar cache can lead to ...
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ACM SIGARCH Computer Architecture News: Volume 34 Issue 1