China Pak economic corridor is a gateway for Pakistan towards success and prosperity. Pak China relations, game plan, routes, projects and effects on the economy of Pakistan are described in it.
Presentation on China Pakistan Economic Corridor. Cpec is initiative of Pakistan and China to reduce the travel costs and improve the economy of both countries.
Presentation on China Pakistan Economic Corridor. Cpec is initiative of Pakistan and China to reduce the travel costs and improve the economy of both countries.
Cpec will galvanize industrailization and employment in pakistanAyesha Majid
China-Pakistan Economic Corridor is a framework of regional
connectivity. Through CPEC China aims to connect its eastern side through
Kashgar to the warm waters of Arabian Sea through Pakistan as it will be
shorter and safer for china to transport goods via this route than through the
china sea to the Arabian Peninsula and surrounding areas. CPEC will not only
benefit China and Pakistan but will have positive impact on Iran, Afghanistan,
India, Central Asian Republics, and the region. Through the enhancement of
geographical linkages having improved road, rail and air transportation system
with frequent and free exchanges of growth and people to people contact,
enhancing understanding through academic, cultural and regional knowledge
and culture, activity of higher volume of flow of trade and businesses, producing
and moving energy to have more optimal businesses and enhancement of cooperation by the win-win model will result in well connected, integrated region
of shared destiny, harmony and development.
Cpec will galvanize industrailization and employment in pakistanAyesha Majid
China-Pakistan Economic Corridor is a framework of regional
connectivity. Through CPEC China aims to connect its eastern side through
Kashgar to the warm waters of Arabian Sea through Pakistan as it will be
shorter and safer for china to transport goods via this route than through the
china sea to the Arabian Peninsula and surrounding areas. CPEC will not only
benefit China and Pakistan but will have positive impact on Iran, Afghanistan,
India, Central Asian Republics, and the region. Through the enhancement of
geographical linkages having improved road, rail and air transportation system
with frequent and free exchanges of growth and people to people contact,
enhancing understanding through academic, cultural and regional knowledge
and culture, activity of higher volume of flow of trade and businesses, producing
and moving energy to have more optimal businesses and enhancement of cooperation by the win-win model will result in well connected, integrated region
of shared destiny, harmony and development.
Pak china relations : Media & Current Affairs : Student CollaborationAli Haider Saeed
An illustration of student-teacher collaborative discussion model in the subject of Media & Current Affairs during the Fall session 2020, Students engaged in the discussion on Cino-Pak Relations
It is a draft paper on CPEC. It is a deep analysis of the results of CPEC on Pakistan and its inhabitants. The price Pakistan is paying and the returns it will get.
Cpec impects of cpec for gilgit baltistan and balochistan by sahil saddar udd...Saddar Uddin
China-Pakistan economic corridor (CPEC) is a mega project of USD 51 billion taking the joint relationship between Pakistan and China to new height
The main purpose of CPEC is to trade in all over the world through this routes .
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
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.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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.
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).
3. Contents
Historical background of Gwadar
Introduction to China Pak Economic Corridor ( CPEC )
History of Pak-China relations
Investment in Pakistan
Project Proposed
MOU
Major Projects of CPEC
Benefits to China & Pakistan
Disadvantages to Pakistan
Conclusions
4. Historical Background of Gwadar
Longest district along the Makran coast.
Originally the legacy of Baloch fishermen who first came to live here.
Has been the station and refuge of numerous nations.
In area of 3rd B.C a group of Muslims along with Caliph Omar travelled all the way
to Makran to preach Islam.
Meer Hammal Kalmati, the chieftain of the coastal Balochs, fought several battles
with the Portuguese in 16th century.
After their victory the Portuguese burned the entire villages of Gwadar and Pasni in
1581 resulted a large number of population effected.
Became a part of the state of Kalat in the 18th century then in 1783 the state of
Oman.
5. Historical Background of Gwadar
On 8th September 1958, Pakistan paid $3 million to get the authority of the enclave
from the Oman.
The mega project of a sea port in Gwadar remained pending until Pakistan got the
complete charge of Gwadar in 1988.
Arab Soldiers of Gwadar in the territory Gwadari fort and the AghaKhani
of Oman and Masqat Jamat Khana
8. Introduction to Chin-Pak Economic
Corridor ( CPEC )
A framework of regional connectivity
Positive impact on all the regional countries
The enhancement of geographical linkages having improved road, rail and air
transportation system
Free exchanges of growth and people to people contact
Integrated region of shared destiny, harmony and development
Journey towards economic regionalization in the globalized world
Hope of better region of the future with peace, development and growth of
economy
9. Introduction to Chin-Pak Economic
Corridor ( CPEC )
CPEC Vision & Missions
Integrated Transport & IT systems including Road, Rail, Port, Air and Data
Communication Channels
Energy cooperation
Spatial layout, functional zones, industries and industrial parks
Agricultural development & poverty alleviation
Tourism cooperation & people to people communication
Cooperation in livelihood areas
Financial cooperation
Human Resource Development
11. History of Pakistan and China
relations
Pakistan got independence in 1947.
The Communist rebels won the war against National
Government in 1949 led by Mao Zedong.
Pakistan was an alloy of US so it was not possible to
become an alloy of China because it was a Communalist
state.
12. History of Pakistan and China
relations
China won some of Indian`s land in 1963 after war .
China gave a $60 Millions interest free loan to
Pakistan in 1963.
China was a world`s largest purchaser of Pakistani
Cotton 1963.
Since August 1964 regular flights of PIA went to China.
In 1964 China supported Kashmir Issue in favor of
Pakistan in return Pakistan supported Chines entry
into the UN.
13. History of Pakistan and China
relations
In 1965 war China supported Pakistan & applied diplomatic pressure on India.
In 1971, China didn`t supported Pakistan because a stronger state USSR was
involved in the war.
In 1972, Bhutto visited China and it granted previous loan to Pakistan.
China supplied military aid to Pakistan.
14. History of Pakistan and China
relations
China gave Pakistan economic assistance
Karakoram Highway built between the two countries .
In 1986, General Zia-ul-Haq visited China.
A nuclear cooperation treaty signed between the two countries.
A 300-megawatt nuclear power plant built with Chinese help in Punjab province is
completed.
15. History of Pakistan and China
relations
Pak-China annual trade volume is US $12 billion.
Both signed free trade agreement
Pak-China Friendship center
Pak-China business form
16. History of Pakistan and China
relations
Defense cooperation
Strategic Partners
JF-17 Thunder fighter jet planes
Combined Military Exercises
19. Investment in Pakistan
China has become the largest investor in Pakistan.
The investment of China in Pakistan has reached to a level of about $400 millions in
2015-16 .
The table of investors in Pakistan is
23. MOU
Concessional Loan for Karachi- Lahore Motorway .
Concessional loan for Gwadar International Airport .
MOU between NUML Pakistan and Xinjiang Normal University China .
Establishment of NUML International Centre of Education (NICE) between NUML
Pakistan and Xinjiang Normal University .
24. MOU
Cooperation between WAPDA & CTG
Contract on Lahore Orange line Metro
train project
Financing for Lahore orange line metro
train project
Financing for KKH upgradation Phase-2
25. Major Projects of CPEC
CPEC
Energy
Infrastructure
Cotton
Biotech
research
Communication
26. Major Projects of CPEC
List Of Projects
Wind Energy
Jhimpir wind power project
Dawood Wind power project
Coal Power Plant
Hubco coal power plant
Nuclear Power Plant
Kanupp-II Kanupp-III
Solar Power Plant
Zonergy 9*100 MW solar project in Punjab
Hydro Power Plant
720 MW Karot Hydropower project
Development of private hydropower projects
27. Major Projects of CPEC
Gwadar Port upgradation
Lahore Karachi Motorway
Peshawar Karachi Motorway
Havelian Khujerab Railway
Hazara Motorway
Gwadar Ratodero Motorway
Gwadar International Airport
Lahore Orange Line Metro Train
29. Benefits to China & Pakistan
Benefits to China
Chinese industries are facing problems to compete in Global Market due to high
transportation cost and delivery time.
China is using a longest way due to which a transportation cost and time increases,
which gives a competitive edge to competitors e.g. Japan, USA
30. Benefits to China & Pakistan
Benefits to China
It would decrease the travel distance and cost greatly from China to Gulf.
Even if China use CPEC for 50% of its oil supplies then it will save $6 Millions
everyday, almost $2 Billions every year.
Independent path from USA & India`s interference.
New business markets in other countries.
31. Benefits to China & Pakistan
Benefits to Pakistan
Strategic and economic trade routes
Development of Infrastructure
Connect all the Provinces
Development of FATA, KPK & Baluchistan
Job opportunities
32. Benefits to China & Pakistan
Benefits to Pakistan
CPEC from all counts will prove a game changer
Investment by China will boost Pakistan`s
$274 Billions GDP by over 15% .
Given the solid foundation of friendship .
33. Disadvantages to Pakistan
FTA leads to threat for local markets and local
manufacturers
Disturbance of local Industries
Difficult to compete Chines products in market
Dependent to China
35. Conclusions
Natural gateway for China
Positive response by both countries through mutual cooperation
Both countries are keen to enhance trade activities .
36. Conclusions
Stability of economy by
investment in different sectors
Infrastructure development
and development of dams.