pcj.icm.edu.pl
HPDCJ - -
http://pcj.icm.edu.pl/hpdcj;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Heterogenous parallel and distributed computing with Java. Project has been accepted by CHIST-ERA. The project starts at 1st Ostober 2014 and lasts 3 years. The budget is about 1 mln euro. ICM University of Warsaw (Watrsaw, Poland). IBM Research Lab (Zurich, Switzerland). Queens University of Belfast (Belfast, UK). Bilkent Üniversitesi (Ankara, Turkey). The project is funded by CHIST-ERA consortium through: NCN, SNSF, EPSRC, TUBITAK.
erlangen-crm.org
Erlangen CRM / OWL - An OWL DL 1.0 implementation of the CIDOC Conceptual Reference Model (CIDOC CRM)
http://www.erlangen-crm.org/references
The Erlangen CRM is used by various projects and initiatives:. The British Museum uses the Erlangen CRM to provide access to the same collection records available through the Museum's web presented Collection Online in a computer readable format. In the project Sharing Ancient Wisdoms (SAWS) the ECRM/EFRBRoo is used as the basis for an ontology on medieval manuscripts. SYNAT is a Polish project that aims to create a universal and open platform for networking and communication of knowledge resources for s...
icm.edu.pl
Projekty - icm.edu.pl
http://www.icm.edu.pl/web/guest/projekty;jsessionid=C2805ACC0272312DDE8E786321951890
W ramach ICM UW prowadzonych jest wiele projektów naukowych i projektów związanych z zastosowaniami. Listę wszystkich projektów, uporządkowaną według źródeł finansowania można zobaczyć poniżej:. Fundusze Norweskie i Fundusze EOG. Kierownik /Koordynator, osoba do kontaktu ze strony ICM. Okres realizacji, nr Projektu /nr Umowy. Narodowe Centrum Badań i Rozwoju, Program Operacyjny Innowacyjna Gospodarka, Priorytet 2, Działanie 2.3. Europejski Fundusz Rozwoju Regionalnego. ICM - lider projektu. 15 305 083 PLN.
pcj.icm.edu.pl
Manual - -
http://pcj.icm.edu.pl/manual;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). The source code is available at GitHub: https:/ github.com/hpdcj/pcj. 2012 Interna...
pcj.icm.edu.pl
Introduction - -
http://pcj.icm.edu.pl/introduction;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). The source code is available at GitHub: https:/ github.com/hpdcj/pcj. 2012 Interna...
pcj.icm.edu.pl
Pi Approximation using integral - -
http://pcj.icm.edu.pl/pi-approximation-using-integral;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using integral. Pi Approximation using Monte Carlo. Pi Approximation using integral. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). In: W W. Sma...
pcj.icm.edu.pl
First steps - -
http://pcj.icm.edu.pl/first-steps;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). The source code is available at GitHub: https:/ github.com/hpdcj/pcj. 2012 Interna...
pcj.icm.edu.pl
Bibliography - -
http://pcj.icm.edu.pl/bibliography;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). The source code is available at GitHub: https:/ github.com/hpdcj/pcj. 2012 Interna...
pcj.icm.edu.pl
Sequencial execution - -
http://pcj.icm.edu.pl/sequencial-execution;jsessionid=3646E206D64F387FCB1103BCEF9D1EB5
Pi Approximation using Monte Carlo. Pi Approximation using integral. Is a library for Java language that helps to perform parallel and distributed calculations. The current version is able to work on the multicore systems connected with the typical interconnect such as ethernet or infiniband providing users with the uniform view across nodes. Download PCJ library (jar file of 9.01.2016 ver. 4.1). Download PCJ manual (pdf). The source code is available at GitHub: https:/ github.com/hpdcj/pcj. 2012 Interna...
