Військово – патріотичне виховання – складова системи національного вихованняmanschool2
Презентація на тему "Військово – патріотичне виховання – складова системи національного виховання". Районний семінар з захисту вітчизни у НВК "Маневицька ЗОШ №2 гімназія"
Військово – патріотичне виховання – складова системи національного вихованняmanschool2
Презентація на тему "Військово – патріотичне виховання – складова системи національного виховання". Районний семінар з захисту вітчизни у НВК "Маневицька ЗОШ №2 гімназія"
Start-up Stage - Travel & Transportation - Presentation by Samuel Baker, COO of Wunder at the NOAH 2015 Conference in London, Old Billingsgate on the 12th of November 2015.
ScaleGraph - A High-Performance Library for Billion-Scale Graph AnalyticsToyotaro Suzumura
Please cite the following paper:
Toyotaro Suzumura and Koji. Ueno, "ScaleGraph: A high-performance library for billion-scale graph analytics," 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, 2015, pp. 76-84.
doi: 10.1109/BigData.2015.7363744
Recently, large-scale graph analytics has become a very popular topic owing to the emergence of gigantic graphs whose number of vertices and edges is in millions, billions or even trillions. Many graph analytics libraries and frameworks have been proposed with various computational models and programming languages to deal with such graphs. X10 programming language is a PGAS language that aims at both software performance and programmer's productivity. We introduce ScaleGraph library developed using X10 programming to illustrate the use of X10 for large-scale graph analytics. ScaleGraph library provides XPregel framework that is inspired by Google's Pregel computation model, serving as a building block for implementing graph kernels. We also optimized X10 runtime in some parts such as collective communication and memory management. We evaluated the performance and scalability of ScaleGraph libraries. The result shows that most graph kernels have good performance and scalability. ScaleGraph library is 9.4 times faster than Giraph in the experiment of PageRank with 16 machine nodes. To the best of our knowledge, ScaleGraph is the first X10-based library to address performance, scalability and productivity issues in dealing with large-scale graph analytics.
Xotelia - Comment diversifier votre stratégie de distribution sur Internet?Jeffrey Messud
Internet a profondément bouleversé le marché du tourisme en permettant l’émergence de nouveaux acteurs comme les agences de voyage en ligne (OTA – Online Travel Agency) ou les comparateurs de voyage en ligne.
L’ offre est tellement large qu’il est souvent devenu difficile pour les petits hébergeurs d’y voir clair ! Pourtant diversifier ses canaux de distribution sur internet garantit souvent un taux d’occupation satisfaisant. Reste à définir la bonne combinaison.
Au cours de ce webinar, Jeffrey Messud vous présentera les acteurs incontournables du marché et les spécificités de chacun d’entre eux. L’accent sera également mis sur les différents types de connexions proposés par Xotelia pour chacun de ses sites partenaires. L’occasion pour vous, d’en savoir davantage sur la nouvelle connexion certifiée avec Airbnb, grâce à la présence de Romain Duthoit, Market Manager chez Airbnb.
Audience cible : locations touristiques/saisonnières, meublés de tourisme, hotels de petite et moyenne capacité.
8th TUC Meeting – George Fletcher (TU Eindhoven), gMark: Schema-driven data a...LDBC council
George Fletcher, Associate Professor at the Eindhoven University of Technology, presented gMark, an open-source framework for generating synthetic graph instances and workloads. The main focus of gMark has been to tailor different graph data management scenarios, often driven by query workloads. Such as multi-query optimization, workload-driven graph database physical design or mapping discovery and query rewriting data integration systems.
Start-up Stage - Travel & Transportation - Presentation by Samuel Baker, COO of Wunder at the NOAH 2015 Conference in London, Old Billingsgate on the 12th of November 2015.
ScaleGraph - A High-Performance Library for Billion-Scale Graph AnalyticsToyotaro Suzumura
Please cite the following paper:
Toyotaro Suzumura and Koji. Ueno, "ScaleGraph: A high-performance library for billion-scale graph analytics," 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, 2015, pp. 76-84.
doi: 10.1109/BigData.2015.7363744
Recently, large-scale graph analytics has become a very popular topic owing to the emergence of gigantic graphs whose number of vertices and edges is in millions, billions or even trillions. Many graph analytics libraries and frameworks have been proposed with various computational models and programming languages to deal with such graphs. X10 programming language is a PGAS language that aims at both software performance and programmer's productivity. We introduce ScaleGraph library developed using X10 programming to illustrate the use of X10 for large-scale graph analytics. ScaleGraph library provides XPregel framework that is inspired by Google's Pregel computation model, serving as a building block for implementing graph kernels. We also optimized X10 runtime in some parts such as collective communication and memory management. We evaluated the performance and scalability of ScaleGraph libraries. The result shows that most graph kernels have good performance and scalability. ScaleGraph library is 9.4 times faster than Giraph in the experiment of PageRank with 16 machine nodes. To the best of our knowledge, ScaleGraph is the first X10-based library to address performance, scalability and productivity issues in dealing with large-scale graph analytics.
Xotelia - Comment diversifier votre stratégie de distribution sur Internet?Jeffrey Messud
Internet a profondément bouleversé le marché du tourisme en permettant l’émergence de nouveaux acteurs comme les agences de voyage en ligne (OTA – Online Travel Agency) ou les comparateurs de voyage en ligne.
L’ offre est tellement large qu’il est souvent devenu difficile pour les petits hébergeurs d’y voir clair ! Pourtant diversifier ses canaux de distribution sur internet garantit souvent un taux d’occupation satisfaisant. Reste à définir la bonne combinaison.
Au cours de ce webinar, Jeffrey Messud vous présentera les acteurs incontournables du marché et les spécificités de chacun d’entre eux. L’accent sera également mis sur les différents types de connexions proposés par Xotelia pour chacun de ses sites partenaires. L’occasion pour vous, d’en savoir davantage sur la nouvelle connexion certifiée avec Airbnb, grâce à la présence de Romain Duthoit, Market Manager chez Airbnb.
Audience cible : locations touristiques/saisonnières, meublés de tourisme, hotels de petite et moyenne capacité.
8th TUC Meeting – George Fletcher (TU Eindhoven), gMark: Schema-driven data a...LDBC council
George Fletcher, Associate Professor at the Eindhoven University of Technology, presented gMark, an open-source framework for generating synthetic graph instances and workloads. The main focus of gMark has been to tailor different graph data management scenarios, often driven by query workloads. Such as multi-query optimization, workload-driven graph database physical design or mapping discovery and query rewriting data integration systems.
1. NEON TUBES
Filosofi Warna Negara-negara:
Joscha Tampubolon
SMA Unggul Del
213047
Joscha Tampubolon - 213047
2. Catatan Penting:
Amerika Latin memiliki perbedaan dengan Amerika Selatan. Amerika
latin bukanlah suatu wilayah(regional) yang terdaftar secara resmi
karna amerika latin adalah sebutan bagi bangsa yang menggunakan
bahasa spanyol-portugis di daratan Amerika. Sehingga Negara-Negara
yang terdaftar di regional amerika tengah dalam daftar ini ikut
dicantumkan
Joscha Tampubolon - 213047
3. Merah, Melambangkan cerah,kepercayaan,arah,semangat
Cth: Suku Astec melambangkan merah untuk utara,
digunakan dalam bendera negara
Kuning, Melambangkan matahari(sinar)
Biru, Melambangkan duka, akhir damai.
Cth: warna pakaian berduka
Hijau, Melambangkan vegetasi
Emas, Melambangkan kekayaan
Cth: Warna ornament hiasan rumah
Hitam, Melambangkan warna keagamaan
Cth: Jubah pastor meksiko
Putih, Melambangkan pertanian
Cth: Baju petani
Joscha Tampubolon - 213047
4. Merah, Melambangkan alam
Cth: Lambang vegetasi burung di bahamas
Hijau, Melambangkan vegetasi subur
Cth: symbol kodok coqui di Puerto Rico
Kuning, Melambangkan Keindahan pantai
Cth: Bendera jamaika, warna thema lepas pantai bahamas
Pink, Melambangkan Kegagahan Bangunan
Cth: Arsitektur di Puerto Rico
Putih, Melambangkan putih, dingin
Cth: Pakaian Polisi di Haiti, Perhiasan
Emas, Melambangkan Bajak Laut, kekayaan
Cth: Perhiasan mahal, harta karun bajak laut
Joscha Tampubolon - 213047
6. Merah, Melambangkan silau, celaka
Cth: kepercayaan takhayul warga brazil bahwa
mobil warna merah cenderung mengalami
kecelakaan
Hijau, Melambangkan Alamiah
Cth: Hutan hujan Amazon
Jingga, Melambangkan lingkungan hidup
Cth: lambing burung macaw.
Hitam, Melambangkan kesesatan, kedukaan
Cth: Warna pakaian janda, warna kedukaan
Joscha Tampubolon - 213047
8. Sumber:
Joscha Tampubolon - 213047
Mario De Bortoli & Jesús Maroto
“Translating colours in web site
localisation” in 2001 in the Proceedings of
the European Languages and the
Implementation of Communication and
Information Technologies (Elicit)
conference.
University of Paisley.
ISBN: 0-9541774-0-1