Por desgracia, la comunidad médica tradicional están capacitado para centrarse no en la causa subyacente, sino en controlar el número uno de los síntomas que se utilizan para diagnosticar esta enfermedad: azúcar en la sangre. Para mas informacion: http://www.0diabetes.info/
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.
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).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
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.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
1. CURRICULAMVITAE
Sanchit Narang
E-Mail: Sanchitnarang40@gmail.com
Mobile: +91-9999887148
OBJECTIVE
Seeking assignments in the areas of Logistics / Supply Chain Management with an
organization of repute.
Profile Summary
A dynamic professional with quality experience in Global Distribution and
Logistics, Supply Chain and Operations Management.
0.8+ Months of job experience in telecom industry in SCM domain.
Core Competencies
Supply Chain Management
Logistics Executive from Global Distribution Centre, with hands on knowledge
of SAP-MM/SD, including reporting pertaining to overall Customer Order
Management, Purchase Orders, Sales Orders, Stock-on-hand, Invoicing
reports, Goods delivered & faulty returned, and troubleshooting.
Procurement Operations
Configuring and customizing the purchase requisition / orders,
setting of document type, source determination, etc.
Achievements:
Learned Processes immediately and ensured 100% delivery on tasks
allocated
Trusted with end to end responsibility of the Region.
PROFILE / CURRENT WORKING
Nokia Solutions and Networks, Noida
(Currently working as Logistics Executive in Order Fulfilment team
since December’2015)
0.8 + Month of SAP - MM, PP Modules End user experience.
Role : Order fulfilment (Order Management Specialist)
Dept. : GSD- HWS (Global Service Delivery )
2. ROLE:-
- Complete customer order management with focus on Order Fulfilment
from Global Distribution Centre to Country Warehouses.
- Uses SAP and KPI tools to integrate all the manufacturing unit and support
departments for free flow of information and better co-ordination with
customer.
- Delivery Creation against the End Customer PO (Purchase Order).
- Invoice creation against the delivery.
- Responsible for accurate customer order entry into logistics systems.
- Provides Material availability information to Country.
- Handling SCRAP Process (IR units return to Country back).
- Prioritizes daily operations of the logistics activities.
- Acting as key interface to the customer/customer team providing day to-
day logistics support incl. reporting (order base, etc.)
- Responsible for request handling from region such as serial nos. Tracking,
stock transfers etc.
- Order Correction’s.
- Handling the task of creation sales order for Brazil.
- Handling Country of Origin certificates for MEA region.
- Handling ST’PO of LAT region.
- Knowledge on SAP P20 module.
EXPERIENCE
Organization: Nokia Solution and Networks (Through 3rd
party-FTR)
Duration : 01 December 2015
Total Experience : 08 Months
Over All Experience is 0.8 Months in SAP P20 Module as an end user.
RESPONSIBILITY’S OVERVIEW
Configuring and customizing the purchase requisition/ orders,
setting of document type, source determination, etc.
Process Automation; Re-engineering & POS, Distributional & Inventory data
management.
Managing & taking care of Shipment data.
SOFTWARE SKILLS
Well versed with Operating System - Windows XP, Windows 7
Proficient in MS-Office Suit, MS Word, MS Excel & MS PowerPoint
Knowledge of SAP MM, PP & SD Module as End User
3. EDUCATION
Year Qualification Institution
2014 BBA Jims (MDU University), New Delhi
2011 XII Guru Nanak Public School, New Delhi
2009 X Hans Raj Model School, New Delhi
PERSONAL DETAILS
FAT HER’S NAME - Jagdish Narang
DOB - 22- July- 1992
SEX - Male
MARIT AL ST AT US - SINGLE
LANGUA GES KNOWN - ENGLISH, HINDI
HOBBIES -
I hereby declare that all the above information given by me is true to be best of
my knowledge.
Sign: Sanchit Narang
Date: 15/07/2016
