An OSCE report summarizes a shelling incident in Mariupol, Ukraine on January 24, 2015. The SMM heard heavy rocket fire from the northeast and later observed impacts from Grad and Uragan rockets in a residential area, killing at least 20 civilians and injuring 75. Crater analysis indicated the rockets were fired from areas controlled by the self-proclaimed Donetsk People's Republic to the northeast and east of Mariupol. Additional rocket fire was later heard impacting near a Ukrainian military checkpoint close to the shelling site.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
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Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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).
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.
The affect of service quality and online reviews on customer loyalty in the E...
обсє 24 01
1. Spot report by the OSCE Special Monitoring Mission to Ukraine
(SMM), 24 January 2015: Shelling Incident on Olimpiiska Street in
Mariupol
MARIUPOL 24 January 2015
is report is provided for the media and general public.
At approximately 09:15hrs on 24 January, the SMM in government-controlled Mariupol heard at its location
incoming massed Multi-Launch Rocket System (MLRS) attacks from a north-east direction, consisting of an
extremely heavy barrage lasting 35 seconds. Twenty minutes later the SMM received information from the
Joint Centre for Control and Co-ordination (JCCC) in Mariupol and other sources, that shelling had occurred
in the area of Olimpiiska Street, in Ordzhonikidzevskyi district, 8.5 km north-east of Mariupol city centre,
approximately 400 metres from a Ukrainian Armed Forces checkpoint.
At 10:20hrs the SMM went to Olimpiiska Street and saw seven adult civilians dead. The SMM observed in an
area of 1.6 km by 1.1 km, including an open market, multiple impacts on buildings, retail shops, homes and a
school. The SMM observed cars on fire and windows facing the north-eastern side of a nine-storey building
shattered. The SMM was able to count 19 rocket strikes and is certain there are more. Four hospitals and the
emergency service in the city informed the SMM that at least 20 people died and 75 people were injured and
hospitalized. Ten of the wounded were in a critical condition, according to a hospital representative.
The SMM conducted a crater analysis and its initial assessment showed that the impacts were caused by Grad
and Uragan rockets. According to the impact analysis, the Grad rockets originated from a north-easterly
direction, in the area of Oktyabr (19 km north-east of Olimpiiska Street), and the Uragan rockets from an
easterly direction, in the area of Zaichenko (15 km east of Olimpiiska Street), both controlled by the “Donetsk
People’s Republic” (“DPR”).
At 13:02hrs and 13:21hrs the SMM heard again incoming MLRS salvos lasting for eight seconds, from an
easterly direction. At a distance of 300 metres the SMM saw smoke above the Ukrainian Armed Forces’
checkpoint number 14 (8.9 km north-east of Mariupol city centre), just severalhundred metres away from
where the shelling had hit in Olimpiiska Street.
Contacts
Michael Bociurkiw
Spokesperson
OSCE Special Monitoring Mission to Ukraine
26 Turgenevska Street
01054 Kyiv
Ukraine
Office: +380 44 382 0832
