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A Review on Plastic Artificial Neural Networks: Exploring the Intersection between Neural Architecture Search and Continual Learning
[article]
2022
arXiv
pre-print
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This study is the first extensive review on the intersection between AutoML and CL, outlining research directions for the different methods that can facilitate full automation and lifelong plasticity in ...
The current state of the art on adaptive ANNs is still a premature area of research; nevertheless, Neural Architecture Search (NAS), a form of AutoML, and Continual Learning (CL) have recently gained an ...
systems on learning and episodic memory [14] . ...
arXiv:2206.05625v1
fatcat:w32ni2t4irhl5hhwc2v4nm3bja
Partial hyperplane activation for generalized intersection cuts
[article]
2018
arXiv
pre-print
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Our findings shed light on the the strengths of the PHA approach as well as suggest properties related to strong cuts that can be targeted in the future. ...
We computationally evaluate these ideas in the COIN-OR framework on MIPLIB instances. ...
The machine used is a shared 64bit PowerEdge R515 with 48GB of memory and twelve AMD Opteron 4176 processors clocked at 2.4GHz. ...
arXiv:1703.02221v2
fatcat:ce33d7vjvzbuxlxiubyyhay7si
Distributed Seams for Gigapixel Panoramas
2015
IEEE Transactions on Visualization and Computer Graphics
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It shows near-perfect scaling on symmetric multiprocessing systems and good scaling on clusters and distributed shared memory systems. ...
In this paper, we present a parallel, out-of-core seam computing technique that is fast, has small memory footprint, and is capable of running efficiently on different types of parallel systems. ...
The cache sizes were configured based on the amount of memory available in the corresponding systems. All three systems are shared machines. ...
doi:10.1109/tvcg.2014.2366128
pmid:26357067
fatcat:ri3n7jhzvbfr3butrxxq2jwz2y
Accelerating Clique Counting in Sparse Real-World Graphs via Communication-Reducing Optimizations
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2112.10913v1 fatcat:kdubj4szhjgoppmbmsqbnq6p3i
We accelerate the counting phase with our reorganized subgraph data structures that reduce memory traffic to improve scaling bottlenecks. ...
Of the ordering-based algorithms, kClist is the state-of-the art algorithm designed to work on sparse real-world graphs. ...
In contrast, our approach skips the remapping and simply appends each vertex's common neighbors to the end of the array. ...
arXiv:2112.10913v2
fatcat:fdhml5ywoza75bbhdxjoa4bfjq
Tracking Structure of Streaming Social Networks
2011
2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum
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We present a framework based on the STINGER data structure that can monitor a global property, connected components, on a graph of 16 million vertices at rates of up to 240 000 updates per second on 32 ...
The massive state behind multiple persistent queries requires shared data structures and flexible representations. ...
We thank PNNL and Cray for providing access to Cray XMT systems. ...
doi:10.1109/ipdps.2011.326
dblp:conf/ipps/EdigerRBM11
fatcat:bi72vxpjmbdwlmnvncwclyygxa
A near optimal isosurface extraction algorithm using the span space
1996
IEEE Transactions on Visualization and Computer Graphics
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the data set and k is the number of cells intersected by the isosurface. ...
The memory requirement is kept at O(n) while the preprocessing step is O(n log n). ...
We wish to thank the Los Alamos National Laboratory for the the use of their facilities and the Head data set. The FD data set is courtesy of Shi-Yi Chen of LANL. ...
doi:10.1109/2945.489388
fatcat:c4dqztv6bval3hw2c7nfieoq5i
Wavelet-based Multiresolution Isosurface Rendering
[article]
2010
International Workshop on Volume Graphics, Proceedings of the
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The underlying trivariate function is represented as a spline wavelet hierarchy, which allows for adaptive (view-dependent) selection of the desired level-of-detail by superimposing appropriately weighted ...
Both wavelet reconstruction and root finding are implemented in CUDA to utilize the high computational performance of Nvidia's hardware and to obtain high quality results. ...
This work was partially sponsored by the Austrian Science Fund FWF under contract W1209. ...
doi:10.2312/vg/vg10/013-020
fatcat:hlyh6zlxhjaf5ejbljqrx5tmyi
A hybrid representation for modeling, interactive editing, and real-time visualization of terrains with volumetric features
2014
International Journal of Geographical Information Science
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They can represent volumetric features but they require computationally intensive algorithms for rendering, and their memory requirements are high. ...
This decreases the amount of data to be processed and the amount of processing power needed, but at the cost of expressivity and the ability to create complex terrains. ...
Türker Yılmaz for valuable comments and suggestions, Rana Nelson for proofreading and Ateş Akaydın for narrating the videos. ...
doi:10.1080/13658816.2014.900560
fatcat:rzjhwhgozjgqrjmtohtxjrbgt4
Massively-parallel vector graphics
2014
ACM Transactions on Graphics
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It groups together samples that can be computed with the same vector operations using little memory or bandwidth. ...
Our sample scheduler allows pixels with overlapping antialiasing filters to share samples. ...
All tests were run on an NVIDIA GeForce GTX Titan (2688 CUDA cores, 6GB of global memory) hosted by an Intel Core i7 980 at 3.33GHz with 24GB of system memory. ...
doi:10.1145/2661229.2661274
fatcat:klzccho3vjeevnwd4uv3o7oggq
Interactive Volume Rendering with Ray Tracing
[article]
2006
Eurographics State of the Art Reports
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Recent research on high-performance ray tracing has achieved real-time performance even for highly complex surface models already on a single PC. ...
We present optimized implementations and discuss the use of upcoming high-performance processors for volume ray tracing. ...
Acknowledgements We would like to thank all the people that contributed to this report, either by comments and suggestions or by making images available: In particular we thank Holger Theisel for discussion ...
doi:10.2312/egst.20061055
fatcat:jgqba5cix5bu3oqmqr6rc222zq
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
[article]
2022
arXiv
pre-print
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Our system, GEMEL, efficiently integrates merging into existing pipelines by (1) leveraging several guiding observations about per-model memory usage and inter-layer dependencies to quickly identify fruitful ...
Unfortunately, existing solutions that rely on time/space sharing of GPU resources are insufficient as the required swapping delays result in unacceptable frame drops and accuracy violations. ...
memory wins quickly, but also to quickly respond to workload changes. ...
arXiv:2201.07705v2
fatcat:aqdf4rdhlrgbjehljg3mfk5auq
FLASH: Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search
[article]
2018
arXiv
pre-print
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Current state-of-the-art implementations either fail on the presented scale or are orders of magnitude slower than FLASH. ...
We present FLASH (Fast LSH Algorithm for Similarity search accelerated with HPC), a similarity search system for ultra-high dimensional datasets on a single machine, that does not require similarity computations ...
We would like to thank anonymous reviewers and Rasmus Pagh for discussions on the role of correlations in Theorem 1. ...
arXiv:1709.01190v2
fatcat:vic3h5gjnbfnppyruoc4io6rsu
Exploiting Local Orientation Similarity for Efficient Ray Traversal of Hair and Fur
[article]
2014
High Performance Graphics
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This BVH exploits similarity in the orientation of neighboring hairs to increase ray culling efficiency compared to purely axis-aligned BVHs. ...
Our approach achieves about 2× the performance of ray tracing pre-tessellated hair models, while requiring significantly less memory. ...
Acknowledgments We would like to thank DreamWorks Animation for providing the models in Figure 1 and 4 and for supporting this work. ...
doi:10.2312/hpg.20141092
fatcat:26b5bcvw65aifmstft6k66vfvu
Hadoop GIS
2013
Proceedings of the VLDB Endowment
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In this paper, we present Hadoop-GIS -a scalable and high performance spatial data warehousing system for running large scale spatial queries on Hadoop. ...
Our experiments have demonstrated the high efficiency of Hadoop-GIS on query response and high scalability to run on commodity clusters. ...
We count the number of objects in each tile, and sort them based on the counts. We define a threshold Cmax as the maximal count of objects allowed in a tile. ...
doi:10.14778/2536222.2536227
fatcat:z7w7hmd23na4flngnhyfvapbe4
Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce
2013
Proceedings of the VLDB Endowment
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In this paper, we present Hadoop-GIS - a scalable and high performance spatial data warehousing system for running large scale spatial queries on Hadoop. ...
Our experiments have demonstrated the high efficiency of Hadoop-GIS on query response and high scalability to run on commodity clusters. ...
Acknowledgments This work is supported in part by PHS Grant UL1RR025008 from the CTSA program, R24HL085343 from the NHLBI, by Grant Number R01LM009239 from the NLM, by NCI Contract No. ...
pmid:24187650
pmcid:PMC3814183
fatcat:v5ov5f6vhzcklbkoyztq7zovda
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