swisstopo, the early cloud adopter within the Swiss Public Administration, has started usind cloud services in 2008 and successfully deployed "geo.admin.ch: the Swiss Geoportal" in 2010. The presentation depicts swisstopo's 5 years experience in using cloud services and explains why the "Public Cloud Only" approach has to be extended to an "Open Hybrid Cloud" approach to enable further continued growth and sustainability.
On 15th October 2013 geo.admin.ch, the geoportal of the Swiss Confederation has achieved the 2nd place in the EuroCloud Award 2013 in the category of «Best Cloud Service Use Case Public Sector» (the award ceremony took place in the context of the EuroCloud Congress in Luxembourg on October 15th 2013). This award honors the most innovative cloud solution characterized by originality, innovation, creativity and efficiency.
NTAP consultant Madhu Lakshmanan's presentation about using GIS mapping for targeting and evaluation. Delivered for CERA's Techniques for Targeting Populations webinar
(June 18, 2009): http://www.legalhotlines.org/webinars/targeting.htm.
swisstopo, the early cloud adopter within the Swiss Public Administration, has started usind cloud services in 2008 and successfully deployed "geo.admin.ch: the Swiss Geoportal" in 2010. The presentation depicts swisstopo's 5 years experience in using cloud services and explains why the "Public Cloud Only" approach has to be extended to an "Open Hybrid Cloud" approach to enable further continued growth and sustainability.
On 15th October 2013 geo.admin.ch, the geoportal of the Swiss Confederation has achieved the 2nd place in the EuroCloud Award 2013 in the category of «Best Cloud Service Use Case Public Sector» (the award ceremony took place in the context of the EuroCloud Congress in Luxembourg on October 15th 2013). This award honors the most innovative cloud solution characterized by originality, innovation, creativity and efficiency.
NTAP consultant Madhu Lakshmanan's presentation about using GIS mapping for targeting and evaluation. Delivered for CERA's Techniques for Targeting Populations webinar
(June 18, 2009): http://www.legalhotlines.org/webinars/targeting.htm.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Tabula.io Cheatsheet: automate your data workflows
Predicting Eurosong with Google Predicting Eurosong with Google and data visualisation and data visualisation
1. Predicting Eurosong with GooglePredicting Eurosong with Google
and data visualisationand data visualisation
December 18
2017
A WEIRD MAP TELLING THE STORY
Maarten
Lambrechts
Datascience
Leuven