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Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks [article]

Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
2022 arXiv   pre-print
This work, therefore, enables fine-grained depth-first scheduling of layer-fused DNNs onto multi-core architectures through an open-source modeling framework called Stream.  ...  Using Stream in further explorations, we demonstrate that high-level architectural decisions greatly impact hardware efficiency under the fine-grained scheduling paradigm, reducing the energy-delay product  ...  Performing such fine-grained scheduling on a multi-core HW architecture comes with two major challenges: 1.)  ... 
arXiv:2212.10612v1 fatcat:rlriljcinneg7p7f63xiedbpxq

Trill

Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John C. Platt, James F. Terwilliger, John Wernsing
2014 Proceedings of the VLDB Endowment  
streaming and relational queries with early results, across the latency spectrum from real-time to offline; (2) Fabric and Language Integration: Trill is architected as a high-level language library that  ...  Trill fulfills a combination of three requirements for a query processor to serve the diverse big data analytics space: (1) Query Model: Trill is based on a tempo-relational model that enables it to handle  ...  flow through the query plan with no fine-grained work.  ... 
doi:10.14778/2735496.2735503 fatcat:6cwt4vpxufgpzl2biaevkjoqay

A Survey of Multi-Tenant Deep Learning Inference on GPU [article]

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen
2022 arXiv   pre-print
This survey aims to summarize and categorize the emerging challenges and optimization opportunities for multi-tenant DL inference on GPU.  ...  By overviewing the entire optimization stack, summarizing the multi-tenant computing innovations, and elaborating the recent technological advances, we hope that this survey could shed light on new optimization  ...  Process Launch When Idle valuable multi-tenant GPU scheduling mechanisms, based on which many recent works have started to explore the fine- grained DL operator-level scheduling techniques [9, 43]. [24  ... 
arXiv:2203.09040v3 fatcat:utvpoyvvajfhfghgpf45nxnbne

Text-Based Person Search with Limited Data [article]

Xiao Han, Sen He, Li Zhang, Tao Xiang
2021 arXiv   pre-print
Solving such a fine-grained cross-modal retrieval task is challenging, which is further hampered by the lack of large-scale datasets.  ...  Text-based person search (TBPS) aims at retrieving a target person from an image gallery with a descriptive text query.  ...  It is clear that appending a GRU to the pre-trained textual encoder directly allows the textual stream to learn fine-grained textual information on the basis of the previously learned coarse-grained one  ... 
arXiv:2110.10807v1 fatcat:l6pneuh6izcrbomek57mebh2ce

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment [article]

Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew Swift, Chen Chen, Haiping Lu
2024 arXiv   pre-print
Specifically, MeDSLIP establishes vision-language fine-grained alignments via disentangling visual and textual representations into anatomy-relevant and pathology-relevant streams.  ...  MeDSLIP is evaluated under zero-shot and supervised fine-tuning settings on three public datasets: NIH CXR14, RSNA Pneumonia, and SIIM-ACR Pneumothorax.  ...  The query networks in the framework are multi-layer, multi-head cross-attention modules [18, 23, 25] to align representations with query embeddings.  ... 
arXiv:2403.10635v1 fatcat:nfvnhuwaurbe7lmwkqgmpjvb2q

ICDE conference 2015 detailed author index

2015 2015 IEEE 31st International Conference on Data Engineering  
Repair Approach 387 Diversified Top-K Clique Search 1107 AP-Tree: Efficiently Support Continuous Spatial-Keyword Queries over Stream Ling, Tok Wang 1408 PandaSearch: A Fine-Grained Academic  ...  Subscriptions 1504 Elaps: An Efficient Location-Aware Pub/Sub System Li, Jia 1408 PandaSearch: A Fine-Grained Academic Search Engine for Research Documents Li, Lin 1436 MARS: A Multi-Aspect  ... 
doi:10.1109/icde.2015.7113260 fatcat:ep7pomkm55f45j33tkpoc5asim

Cloud architecture for plant phenotyping research

Olivier Debauche, Sidi Ahmed Mahmoudi, Nicolas De Cock, Saïd Mahmoudi, Pierre Manneback, Frédéric Lebeau
2020 Concurrency and Computation  
; (2) the speed layer, which processes stream data, produces views and deploys them on serving layer; (3) the serving layer receives client queries and produces serving up views merging batch and real-time  ...  Digital phenotyping is an emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing.  ...  The authors would also like to thank Mr Adriano Guttadauria for his technical support and for setting up all the electronic and informatic systems necessary for carrying out this cloud architecture.  ... 
doi:10.1002/cpe.5661 fatcat:d56lx4zndndbdmvlnajnoikdpa

Towards a unified storage and ingestion architecture for stream processing

Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, Maria S. Perez-Hernandez, Radu Tudoran, Stefano Bortoli, Bogdan Nicolae
2017 2017 IEEE International Conference on Big Data (Big Data)  
Current streaming-oriented runtimes and middlewares are not flexible enough to deal with this trend, as they address ingestion (collection and pre-processing of data streams) and persistent storage (archival  ...  In this position paper, we argue for a unified ingestion and storage architecture for streaming data that addresses the aforementioned challenge.  ...  Moreover, we envision to build our proposal on top of robust low-level key-value stores that are capable of efficient fine-grain access (e.g., put/get, multiwrite/multi-read) to the stream records.  ... 
doi:10.1109/bigdata.2017.8258196 dblp:conf/bigdataconf/MarcuCAPTBN17 fatcat:w5a2fruranfflbwchhfuerqrpm

Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges [chapter]

Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas
2015 Lecture Notes in Computer Science  
Processing big volumes of data generated on-line, implies needs to carry out computations on-the-fly, in the streams of data.  ...  suitable for a set of functions and identify new key challenges to improve data-stream processing through co-design with fine-grain efficient synchronization combined with the data exchange.  ...  In this context, fine-grained synchronization mechanisms should be defined for threads M in and M proc intercommunication. Merge Physical Streams Concurrently.  ... 
doi:10.1007/978-3-319-24024-4_15 fatcat:mz75ythl4bfwvlyj3erhruw7fe

2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32

2022 IEEE Transactions on Parallel and Distributed Systems  
., +, TPDS Oct. 2021 2415-2433 Fine-Grained Multi-Query Stream Processing on Integrated Architectures.  ...  Fan, W., +, TPDS Nov. 2021 2793-2808 Fine-Grained Multi-Query Stream Processing on Integrated Architectures.  ...  Graph coloring Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. Zheng, Z., +,  ... 
doi:10.1109/tpds.2021.3107121 fatcat:e7bh2xssazdrjcpgn64mqh4hb4

Multi-perspective Attention Network for Fast Temporal Moment Localization

JungKyoo Shin, Jinyoung Moon
2021 IEEE Access  
However, these fine-grained techniques require a high computational overhead, making them impractical.  ...  Similar to the heavyweight fine-grained TML methods, the proposed network obtains the accurate complex relationship while being lightweight like coarse-grained TML methods.  ...  Our MPAN performs the TML task in a coarse-grained manner but can learn the deeper local-global relationship between two inputs using our multi-perspective attention mechanism, as fine-grained methods  ... 
doi:10.1109/access.2021.3106698 fatcat:5xtxboezxrahveif6k2cwdtbee

Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition [article]

Mei Chee Leong, Haosong Zhang, Hui Li Tan, Liyuan Li, Joo Hwee Lim
2022 arXiv   pre-print
We achieve new state-of-the-art performance on the FineGym benchmark dataset for both proposed architectures.  ...  two frameworks that combine CNN vision backbone and Transformer Encoder to enhance fine-grained action recognition: 1) a vision-based encoder to learn latent temporal semantics, and 2) a multi-modal video-text  ...  We also compare with a multi-task learning network (MTN) [15] that jointly predicts the coarse-to-fine grained action labels and TQN [22] with video-text query-response system.  ... 
arXiv:2208.01897v1 fatcat:omfjpa3qfbd6ppadbhdl54pzjq

Hyperpubsub: a decentralized, permissioned, publish/subscribe service using blockchains

Nejc Zupan, Kaiwen Zhang, Hans-Arno Jacobsen
2017 Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference on Posters and Demos - Middleware '17  
To facilitate the adoption of blockchain technologies across various business verticals, we argue that middleware plays an integral role in accelerating the development of automated business processes  ...  Our system, called HyperPubSub, provides decentralized publish/subscribe messaging for a multi-federated, permissioned, environment.  ...  We thank Richard Hull (IBM) for helpful discussions on Hyperledger.  ... 
doi:10.1145/3155016.3155018 dblp:conf/middleware/Zupan0J17 fatcat:4gckqlimafhcpguvqssw2iklua

Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification [article]

J. Tu, C. Chen, X. Huang, J. He, X. Guan
2020 arXiv   pre-print
Based on this multi-modal information, the proposed DFR-ST constructs an appearance model for a multi-grained visual representation by a two-stream architecture and a spatio-temporal metric to provide  ...  Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery image set taken by different cameras on a wide range of road networks.  ...  The appearance module is composed of a coarse-grained feature stream and a fine-grained feature stream.  ... 
arXiv:2011.06852v1 fatcat:iqlq53dbxbb6je66a47nsvzgha

The Database Machine: Old Story, New Slant?

Julie A. McCann
2003 Conference on Innovative Data Systems Research  
Therefore we suggest an alternative where database systems shake off their relatively static monolithic structure and become open sets of fine-grained components providing a collection of key information  ...  Current DBMS architectures inherently do not provide this level of customisation or adaptability.  ...  Essentially we believe that to have a truly fine-grained DBMS we must have fine-grained components throughout (i.e. including the OS).  ... 
dblp:conf/cidr/McCann03 fatcat:26j3muy5ifc6vh42qsmdh5jxbi
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