This document discusses compilers and related topics. It begins by listing textbooks on compilers and then poses questions about compilers, languages, and the differences between low-level and high-level languages. It defines a compiler as a program that translates a program written in one language into another language. The document also discusses decompilers, cross-compilers, the analysis-synthesis model of compilation, and interpreters.
Introduction to Programming Concepts By Aamir Saleem AnsariTech
Get the free powerpoint slide of introduction to programming concepts from Techora. Learn programming and other things from using our slides. For more visit : www.techora.net
This introductory slide program teaches you the foundational skills all programmers use, whether they program mobile apps, create web pages, or analyze data.
Computer programs are collections of instructions that tell a computer how to interact with the user, interact with the computer hardware and process data. The first programmable computers required the programmers to write explicit instructions to directly manipulate the hardware of the computer. This “machine language” was very tedious to write by hand since even simple tasks such as printing some output on the screen require 10 or 20 machine language commands. Machine language is often referred to as a “low level language” since the code directly manipulates the hardware of the computer.
By contrast, higher level languages such as “C”, C++, Pascal, Cobol, Fortran, ADA and Java are called “compiled languages”. In a compiled language, the programmer writes more general instructions and a compiler (a special piece of software) automatically translates these high level instructions into machine language. The machine language is then executed by the computer. A large portion of software in use today is programmed in this fashion.
At the end of this lecture students should be able to;
Describe features of C programming language.
Justify the terminology related to computer programming.
Define the editing, compiling, linking, debugging stages of C programming
Recognize the basic structure of a C program
Apply comments for C programs to improve readability.
Introduction
Difference between System software and Application software
Difference between System and Application programming
Elements of programming environment
Assembler
Loader and Linker
Macro preprocessor
Compiler
Editor
Debugger
Device Drivers
Operating System
Introduction to Programming Concepts By Aamir Saleem AnsariTech
Get the free powerpoint slide of introduction to programming concepts from Techora. Learn programming and other things from using our slides. For more visit : www.techora.net
This introductory slide program teaches you the foundational skills all programmers use, whether they program mobile apps, create web pages, or analyze data.
Computer programs are collections of instructions that tell a computer how to interact with the user, interact with the computer hardware and process data. The first programmable computers required the programmers to write explicit instructions to directly manipulate the hardware of the computer. This “machine language” was very tedious to write by hand since even simple tasks such as printing some output on the screen require 10 or 20 machine language commands. Machine language is often referred to as a “low level language” since the code directly manipulates the hardware of the computer.
By contrast, higher level languages such as “C”, C++, Pascal, Cobol, Fortran, ADA and Java are called “compiled languages”. In a compiled language, the programmer writes more general instructions and a compiler (a special piece of software) automatically translates these high level instructions into machine language. The machine language is then executed by the computer. A large portion of software in use today is programmed in this fashion.
At the end of this lecture students should be able to;
Describe features of C programming language.
Justify the terminology related to computer programming.
Define the editing, compiling, linking, debugging stages of C programming
Recognize the basic structure of a C program
Apply comments for C programs to improve readability.
Introduction
Difference between System software and Application software
Difference between System and Application programming
Elements of programming environment
Assembler
Loader and Linker
Macro preprocessor
Compiler
Editor
Debugger
Device Drivers
Operating System
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.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
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
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.
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.
1. 1
Textbooks and Class Materials
Compilers: Principles, Techniques and Tools,
Alfred v.Aho, Ravi Sethi , Jeffrey D.Ullman.
Compiler Construction principles and Practice,
Kenneth G.Louden
Compiler Design
O.G.Kakde
Introduction to computer theory(second Edition)
Daniel I.A.Cohen
2. 2
Answer These Questions
What is compiler ?
Why we need compiler?
What are the high or low level languages?
Difference b/w them.
3. 3
Answer These Questions (cont’d)
Difference b/w Assembly and Machine
language.
What is the language of computer ?
Why we feel easy in high level language ?
4. 4
What is compiler ?
A compiler is a program that reads a program
written in one language (i.e source program)
And translates it into equivalent program in another
Language(i.e the target language).
Compiler
Source program Target Program
5. 5
The compiler reports to its user the presence of
errors in the source program.
Compiler
Source program Target Program
Error Messages
6. 6
Different Terminology
Compiler are sometimes classified as SINGLE
PASS,MULTI PASS ,DEBUGGING depending
on how they have been constructed or on what
function they are supposed to perform.Despite
the apparent complexity, the basic functions
that any compiler must perform are essentially
the same.
7. 7
Decompiler
“A program that translates from low level to
higher level one is a decompiler ”
It can be used for the recovery of lost source
code,and is also useful in some cases for error
correction.In case if the vendor of a software
lose its source code ,they can use a
decompiler to recover the source code from the
executable.
8. 8
Decompiler (cont’d)
If some error creeps in the executable of a
software ,it can be decompiled to make
corrections.Example of decompiler is:
JAD- the fast java decompiler –jad is a 100%
pure c++ program and claims to be several
times faster than decompilers written in
java.Jad is free for non-commercial use,but
since the version 1.5.6 it’s no longer free for
commercial use.
9. 9
The Ethics of Decompilation
Is decompilation legal, and is it allowed?
There are many situations when decompilation can be
used...
1) To recover lost source code. You may have written a
program for which you only have the executable now
(or you got the exe of a program you wrote long back,
from someone else!). If you want to have the source for
such a program, you can use decompilation to recover
it. In all rights, you are the owner of the program, so
nobody is going to question you.
10. 10
The Ethics of Decompilation(cont’d)
2) Just as stated above, applications written long
back for a computer may not have the source
code now, and you may need to port it to a
new platform. Either you have to rewrite the
application from the scratch, or use
decompilation to understand the working of
the application and write it again.
11. 11
The Ethics of Decompilation(cont’d)
3) Say you have code written in some language
for which you cant find a compiler today! If
you have the executable, just decompile it
and rewrite the logic in the language of your
choice today
12. 12
The Ethics of Decompilation(cont’d)
4) To discover the internals of someone else's
program (like what algorithm they have
used...)
13. 13
Language Translator
A program that translates between high level
languages is usually called a language
translator ,source to source translator
,language converter,or language rewriter (this
last term is usually applied to translations that
do not involve a change of language)
14. 14
Benefits
The benefit of using a language converter is to
preserve investment in software across a
change in programming language.As an
example,if some organization wants to convert
its software made in some old language to a
newly arrived language in the software industry
,the organization will have to spend a lot of
money for this purpose.
15. 15
Cross-Compiler
“A compiler that runs on one computer but
produces object code for a different type of
computer ”
Cross compilers are used to generate software
that can run on computers with a new
architecture or on special-purpose devices that
cannot host their own compilers.
16. 16
Example
A program developed to control the operations
of a microwave oven is an example of such an
embedded system.As the software
environment of a microwave oven is not that
much proficient that is can support its own
compiler,so a separate compiler is needed to
first separately compile the software code.
17. 17
Example (cont’d)
After compilation ,the software is embedded
into the machine.This separate compiler used
to compile the source code is called a cross
compiler.
18. 18
The Analysis-Synthesis Model of
Compilation
There are two parts of compilation analysis
and synthesis .
The ANALYSIS part breaks up the source
program into pieces and creates and
intermediate representation of the source
program
19. 19
The Analysis-Synthesis Model of
Compilation (cont’d)
The SYNTHESIS part constructs the desired
target program from the intermediate
representation.
21. 21
Software Tools
Many software tools that manipulate
source programs first perform some kind
of analysis.
Some examples of such tools include.
22. 22
Structure Editors
A structure editor takes as input a sequence of
commands to build a source program .The
structure editor not only performs the text
creation and modification functions of an
ordinary text editor but it also analyses the
program text ,putting appropriate hierarchical
structure on the source program.Thus the
structure editor can perform additional tasks
that are useful in preparation of programs.
23. 23
Pretty Printer
A pretty printer analysis a program and prints it in such
a way that the structure of the program becomes
clearly visible.For example,comments may appear in a
special font,and statements may appear with an
amount of indentation proportional to the depth of their
nesting in hierarchical organization of the statements.
24. 24
Interpreter
Instead of producing a target program as an
translation an interpreter performs the
operations implied by the source program for
an assignment statement for example and
interpreter might build a tree and then carry out
the operations at the nodes as it walks the tree.
25. 25
Interpreter (cont’d)
At the root it would discover it (interpreter) had on
assignment to perform so it would call a routine to
evaluate the expression on the right and then store the
resulting value in the location as associated with the
identifier position .At the right side of the root the
routine would discover,it had to compute the sum of
two expressions.It would call itself recursively to
compute the value of the expression rate*60 it would
then add that value to the value of the variable initial.