New Headway Intermediate - Unit 3 telling tales .. ..
New Headway Intermediate Unit 3 telling tales.
New Headway Intermediate UNIDAD 3 Telling tales.
TEMAS: Past tenses, Passive, Art and literature, Giving opinions.
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).
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.
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.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
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
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 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).
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
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
2. www.themegallery.com
History’s Hall of Fame
Foreign Language Center
Reading: Biography, weekend activities,
article, Literature corner: Oompa-loompa song
Listening: Information about concert,
matching people to rooms
Grammar: Past Simple; Wh questions; used to
Vocabulary: types of houses, furniture,
appliances, features, museum objects
Speaking: Asking, giving personal
information, talking about past
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1. Who……..(win) the battle of Waterloo in 1815?
2. When did the World War II ………………… (begin)?
3. Which English queen …….. (rule) from 1837 to 1901?
4. Who ……(be) the first president of the United
States(1789-1797)?
5. Where ……. the US forces ……… (drop) the first atomic
bomb on 6th August, 1945?
6. In which city ……. The Russians … . .(build) a wall in
1961?
A Napoleon Bonaparte b The Duke of Wellington
A 1939 b 1914
..
A Elizabeth b Victoria
A George Washington b Abraham Lincoln
A Hiroshima b Nagasaki
A Berlin b Munich
won
began
ruled
was
did drop
did build
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7. How many years ……. The Vietnam War ……(last)?
8. In what year …… America ……. (gain) its
independence?
9. How …… President JFKennedy ……(die)?
10. Which Europian country ….Julius Caeser
……………(invade) in 55BC?
11. Which country ………. Adolf Hitler ……….(come)
from?
12. Who …………… (conquer) most of the known world
from 336 BC to 323 BC?
A 21 years b 10 years
A 1492 b 1776
A He had a car accident. b Somebody shoot him.
A Switzerland b Britain
A Austria b Germany
A Attila the Hun b Alexander Great
did last
did gain
did die
did
invade
did come
conquered
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Winter Concert
On the 5th 1……………….. at
2…………….pm Forest Road,
Loughborough Orchestra performs
Beethoven’s Piano Concerto
No. 3…………………. and Sibelius’s
Symphony No.3.
Conductor: Peter 4…………………..
Soloist: Tom 5 …………….
December
8
5
Davis
Rice
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Wh- questions
Wh- questions begin with a question word, such as:who, what, where, when,
etc. We always put the auxiliary or modal verb before the subject.
Question word+auxiliary/ modal+ subject
• “Who did you see?” ”Tony.”
• “Whose is that car.” “It is Ann's.
For People:
• “What do you need.” “A pencil.”
• “Which dress does Mary like?”
“The blue one.”
Things:
• “Where did Lynn go?” “To the
post office.”
Place:
who/whose
what/which
where
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•“When did he leave?” “An hour ago.”
•“How long have they known each other?”
“Two years.”
•“How often does she go to the cinema?”
”Twice a month.”
Time: when/how
long/how often
• “How much sugar you need.” “A bag.”
• “How many notebooks did you buy?”
“Five.”
Quantity/ number :
how much/ how
many
• “ How did you go to Rome?” ”By car.”
• “ Why was he upset?” ”Because he
failed his exam.”
Manner : how
Reason: why
• “ How old is your mum?” ”Fifty.”
• “How far is it to the bank?” ”About ten
minutes‘ walk.”
Age : how old
Distance :
how far
8. www.themegallery.com Question words
fill the correct question word.
1 A: ………………… is she?
B: She’s my sister.
2 A: ………………… are you going?
B: To the shopping centre.
3 A: ………………… can I get you?
B: A glass of water, please.
4 A: ………………… dress do you like, the white
one or the black one?
B: The white one.
5 A: ………………… hat is this?
B: It’s Jack’s.
Who
Where
What
Which
Whose
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6 A: ………………did she leave work early?
B: Because she had to go to the dentist.
7 A: ………………… is my wallet?
B: On my desk.
8 A: ………………… is your favourite actor?
B: Tom Cruise.
9 A: ………………… do you need?
B: A pencil and some paper.
10 A: ………………… did Mark go to Germany?
B: in 1999.
Why
Where
Who
What
When
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Past Simple/ Wh questions
SUBJECT QUESTION: A subject question asks
about the subject of the sentence.
Do NOT change the word order of the question.
ANSWER QUESTION
Gina is fixing the
computer.
Who is fixing the
computer?
An accident happened
last week.
What happened last
week?
Who called Mary?John called Mary
Subject verb object
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OBJECT QUESTION: An object question asks about the
object of the sentence. You MUST change the word order
of the question.
ANSWER QUESTION
Gina met Mary.
Whom did Gina meet? <--
formal
Gina met Mary.
Who did Gina meet? <--
informal
Frank saw an accident. What did Frank see?
Who did you call?I called Mary.
Subject verb object
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1.
Sally called Stewart a few minutes ago.
2.We visited an old castle on Saturday.
3.
John and Tracy bought two little puppies.
4.
We went to Portugal for my holidays last
year.
Who called Stewart a few minutes ago?
Where did we visit on Saturday?
How many little puppies did John and Tracy buy?
Where did we go for my holidays last year?
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1.
.
They chose the red sofa for their new
living room.
2.
The accident happened on Thursday.
3.
We travelled to the airport by train.
Which sofa did they choose for their
new living room?
When did the accident happen?
How did you travel to the airport?
14. www.themegallery.com
1.
The doctor is working with the nurse.
2.
The doctor told the nurse to draw blood.
3.
The repairman worked on the computer
yesterday.
4.
The repairman worked on the computer
yesterday.
5.
The woman wrote a long letter.
Who is working with the nurse?
Who did the doctor tell to draw blood?
What did the repairman work on yesterday?
Who worked on computer yesterday?
What did the woman write?
15. www.themegallery.com
6.
The woman wrote a long letter.
7.
The teacher gave the student some advice.
8.
The teacher gave the student some advice.
9.
The robber demanded all the money in the cash
register.
10.
The robber asked for all the money in the cash
register.
Who wrote a long letter?
Who gave the student some advice?
What did the teacher give the student?
What did the robber demand?
Who asked for all the money in the cash
register.
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When I was a child I used to play in
the street.
We didn’t use to watch TV.
Because TV station used to broadcast
only for 4 hours a day (between 6-
10).
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Used to versus past simple
We use used to + bare infinitive to refer to
past habits or states.
He used to swim a lot when he was younger.
In such cases used to can be replaced by the
past simple with no change in meaning.
When Ann was young she spent/ used to spend her
summer holidays with her parents.
However , for an action that happened at a
definite time in the past we use the past
simple, not used to.
He walked to work yesterday.
(NOT: He used to walk to work yesterday)
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We also use ‘used to’ talk about past
facts, which are no longer true.
He used to live in Lisbon. Now he lives in
Munich.
25. www.themegallery.com
Listen to the conversation and match the
people to where they are.
People
1
2
3
4
5
Rooms
a. Bedroom
b. living room
c. Kitchen
d. Garden
e. Bathroom
f. Dining room
g. Garage
h. Attic
B
F
G
E
D
Paul
Erica
Claire
Martin
Greg
26. www.themegallery.com
Choose the correct word to complete
the gaps. Listen and check. Explain the
words in bold.
0 A but B and C too
1 A in B at C into
2 A on B in C at
3 A were B had C was
4 A with B for C and
5 A It B There C This
6 A some B a C the
7 A each B the C several
8 A they B The C These
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USED TO OR PAST SIMPLE
A past simple state or habit that
doesn’t happen any more?
An action/ event that happened at a
specific time in the past.
People used to travel/travelled by coach
then. (but now they don’t –they use cars)
They didn’t used to have/ didn’t have running
water or electricity. (but now they do)
But : John went to the ‘Victorian Experience’
museum last weekend(NOT: John used to
go …)
