55 research outputs found
HERITAGE 2022. International Conference on Vernacular Heritage: Culture, People and Sustainability
Vernacular architecture, tangible and intangible heritage of great importance to European and global culture, represents the response of a society culturally linked to its territory, in terms of climate and landscape. Its construction features are born from the practical experience of the inhabitants, making use of local materials, taking into consideration geographical conditions and cultural, social and constructive traditions, based on the conditions of the surrounding nature and habitat. Above all, it plays an essential role in contemporary society as it is able to teach us important principles and lessons for a respectful sustainable architecture.
Vernacular Heritage: Culture, People and Sustainability will be a valuable source of information for academics and professionals in the fields of Environmental Science, Civil Engineering, Construction and Building Engineering and ArchitectureMileto, C.; Vegas LĂłpez-Manzanares, F.; Cristini, V.; GarcĂa Soriano, L. (2022). HERITAGE 2022. International Conference on Vernacular Heritage: Culture, People and Sustainability. Editorial Universitat Politècnica de València. https://doi.org/10.4995/HERITAGE2022.2022.15942EDITORIA
Exploring Written Artefacts
This collection, presented to Michael Friedrich in honour of his academic career at of the Centre for the Study of Manuscript Cultures, traces key concepts that scholars associated with the Centre have developed and refined for the systematic study of manuscript cultures. At the same time, the contributions showcase the possibilities of expanding the traditional subject of âmanuscriptsâ to the larger perspective of âwritten artefactsâ
Multicultural Women\u27s Literature
Openly licensed anthology focused on the theme of the Multicultural Women\u27s Literature. Contains: American Indian Stories by Zikala-Sa (Gertrude Bonnin); Diaries of Court Ladies of Old Japan by Izumi Shikibu et al.; The Diwan of Zeb-un-Nissa by Zeb-un-Nissa; Hawaiiâs Story by Hawaiiâs Queen, Liliuokalani; Kamala: a story of Hindu life by Krupabai Satthianadhan; Life Among the Piutes: Their Wrongs and Claims by Sarah Winnemucca Hopkins; Life of Harriet Beecher Stowe by Harriet Beecher Stowe; Memoirs of an Arabian Princess by Emily Ruete (Salamah bint SaĂŻd; Sayyida Salme, Princess of Zanzibar and Oman); Nightmare Tales by H.P. Blavatsky; Ratanbai: a sketch of a Bombay high cast Hindu young wife, by ShèvantibÄi M. NikambĂŠ.; Two Years in the Forbidden City by the Princess Der Ling; The Tale of Genji by Lady Murasaki Shikibu
Graph-enabled Intelligent Vehicular Network data processing
Intelligent vehicular network (IVN) is the underlying support for the connected vehicles and smart city, but there are several challenges for IVN data processing due to the dynamic structure of the vehicular network. Graph processing, as one of the essential machine learning and big data processing paradigm, which provide a set of big data processing scheme, is well-designed to processing the connected data. In this paper, we discussed the research challenges of IVN data processing and motivated us to address these challenges by using graph processing technologies. We explored the characteristics of the widely used graph algorithms and graph processing frameworks on GPU. Furthermore, we proposed several graph-based optimization technologies for IVN data processing. The experimental results show the graph processing technologies on GPU can archive excellent performance on IVN data
Feluca : A two-stage graph coloring algorithm with color-centric paradigm on GPU
In this paper, we propose a two-stage high-performance graph coloring algorithm, called Feluca, aiming to address the above challenges. Feluca combines the recursion-based method with the sequential spread-based method. In the first stage, Feluca uses a recursive routine to color a majority of vertices in the graph. Then, it switches to the sequential spread method to color the remaining vertices in order to avoid the conflicts of the recursive algorithm. Moreover, the following techniques are proposed to further improve the graph coloring performance. i) A new method is proposed to eliminate the cycles in the graph; ii) a top-down scheme is developed to avoid the atomic operation originally required for color selection; and iii) a novel color-centric coloring paradigm is designed to improve the degree of parallelism for the sequential spread part. All these newly developed techniques, together with further GPU-specific optimizations such as coalesced memory access, comprise an efficient parallel graph coloring solution in Feluca. We have conducted extensive experiments on NVIDIA GPUs. The results show that Feluca can achieve 1.76 - 12.98x speedup over the state-of-the-art algorithms
Towards feature-aware graph processing on the GPU
Unlike traditional graph processing applications, graph-based learning algorithms like Belief Propagation and Multimodal Learning require complex data such as feature vectors and matrices residing on graph vertices and edges, and employ vector/matrix operations on this data. GPU-based high-performance graph processing frameworks utilize clever techniques to mitigate the effect of random global memory accesses arising from irregular graph structure, and also perform efficient load balancing. However, these frameworks are oblivious to algorithm-specific details like the nature of operations involved and the vertex/edge property types used, and hence they end up generating unnecessary random global memory accesses. Moreover, traditional graph processing frameworks often force the user to follow a strict sequence of operations, which does not capture the nuances of different control flows in graph-based learning algorithms. In this thesis, we present Onyx, a feature-aware framework for graph-based learning algorithms on the GPU. Onyx employs a feature-aware processing model where each vertex property is collectively computed by a group of threads. This allows accesses to be coalesced into fewer global memory transactions, improving memory utilization. Onyx also incorporates dynamic vertex activation to perform sparse computations as vertex properties stabilize over time. The user expresses computations in the form of parallel operations on vertex and edge features, providing flexibility for custom control flows that support different kinds of graph-based learning algorithms. To extract high performance, Onyx automatically folds multiple parallel vertex- and edge-feature operations into a single kernel at compile-time. This eliminates the overhead of repeated kernel launches, and permits the use of low-latency shared memory as intermediate storage. We utilize GPU instructions to efficiently perform collaborative operations across vertex and edge features such as normalization, reduction and feature-level change detection. Finally, as feature-aware processing reduces the computation done per thread, we organized the critical path in Onyx as pipelined steps to minimize expensive dependency stalls. Our evaluation shows that Onyx\u27s feature-aware processing decreases the number of atomic transactions and simultaneously increases global load efficiency. Together with change-driven computation this results in up to 20.3x speedup. We also implemented the graph-based learning algorithms on state-of-the-art GPU graph frameworks, and observe that Onyx outperforms them by up to 51.2x
New Perspectives in Biblical and Rabbinic Hebrew
"Most of the papers in this volume originated as presentations at the conference Biblical Hebrew and Rabbinic Hebrew: New Perspectives in Philology and Linguistics, which was held at the University of Cambridge, 8â10th July, 2019. The aim of the conference was to build bridges between various strands of research in the field of Hebrew language studies that rarely meet, namely philologists working on Biblical Hebrew, philologists working on Rabbinic Hebrew and theoretical linguists.
This volume is the published outcome of this initiative. It contains peer-reviewed papers in the fields of Biblical and Rabbinic Hebrew that advance the field by the philological investigation of primary sources and the application of cutting-edge linguistic theory. These include contributions by established scholars and by students and early career researchers.
Leap into Modernity â Political Economy of Growth on the Periphery, 1943â1980
This book describes struggles of different countries and their development after World War II. It presents a panorama of different ideologies of accelerated development, which dominated the world just before the war and in the next 40 years. The author explains why in the 1970s global and local elites began to turn away from the state, exchanging statism for the belief in the ÂŤinvisible hand of the marketÂť as a panacea for underdevelopment. He focuses not only on the genesis of underdevelopment, but also on the causes of popularity of economic planning, and the advent of neoliberalism in the discourse of development economics. This book evaluates the power of state as a vehicle of progress and focuses in detail on the Soviet Union, China, Poland, Ghana, Tanzania, and South Korea
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