The document discusses debugging techniques for C programs using gcc and gdb. It begins with debugging concepts like program state and state predicates. It then provides a small example program to average numbers and shows how to debug it using gdb. Key gdb commands are explained like breakpoints, print, and stepping. The document also introduces the ddd graphical frontend for gdb and provides an example of debugging a pointer bug in an inorder tree traversal function.
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San J...Databricks
Watch video at: http://youtu.be/Wg2boMqLjCg
Want to learn how to write faster and more efficient programs for Apache Spark? Two Spark experts from Databricks, Vida Ha and Holden Karau, provide some performance tuning and testing tips for your Spark applications
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San J...Databricks
Watch video at: http://youtu.be/Wg2boMqLjCg
Want to learn how to write faster and more efficient programs for Apache Spark? Two Spark experts from Databricks, Vida Ha and Holden Karau, provide some performance tuning and testing tips for your Spark applications
A Scalable Hierarchical Clustering Algorithm Using Spark: Spark Summit East t...Spark Summit
Clustering is often an essential first step in datamining intended to reduce redundancy, or define data categories. Hierarchical clustering, a widely used clustering technique, can
offer a richer representation by suggesting the potential group
structures. However, parallelization of such an algorithm is challenging as it exhibits inherent data dependency during the hierarchical tree construction. In this paper, we design a
parallel implementation of Single-linkage Hierarchical Clustering by formulating it as a Minimum Spanning Tree problem. We further show that Spark is a natural fit for the parallelization of
single-linkage clustering algorithm due to its natural expression
of iterative process. Our algorithm can be deployed easily in
Amazon’s cloud environment. And a thorough performance
evaluation in Amazon’s EC2 verifies that the scalability of our
algorithm sustains when the datasets scale up.
I am Bernard. I am a C Programming Assignment Help Expert at programminghomeworkhelp.com. I hold a Ph.D. in Computer Science from, University of Leeds, UK. I have been helping students with their homework for the past 12 years. I solve assignments related to C Programming.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com.You can also call on +1 678 648 4277 for any assistance with C Programming assignments.
Computer Graphics - Lecture 01 - 3D Programming I💻 Anton Gerdelan
Slides from when I was teaching CS4052 Computer Graphics at Trinity College Dublin in Ireland.
These slides aren't used any more so they may as well be available to the public!
There are some mistakes in the slides, I'll try to comment below these.
This is the second lecture, and introduces programming with OpenGL 4 and shaders.
Lab Practices and Works Documentation / Report on Computer GraphicsRup Chowdhury
This is a report that I have prepared during my Computer Graphics Lab course. This contains the theoretical information that we learned in our introduction class. It also contains information on different computer graphics tools and software. It contains codes to create different and also the procedure.
1. Information on GLUT
2. Flag drawing with GLUT
3. DDA Algorithm
4. Midpoint Line Drawing Algorithm
5. Tansformation
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
A Scalable Hierarchical Clustering Algorithm Using Spark: Spark Summit East t...Spark Summit
Clustering is often an essential first step in datamining intended to reduce redundancy, or define data categories. Hierarchical clustering, a widely used clustering technique, can
offer a richer representation by suggesting the potential group
structures. However, parallelization of such an algorithm is challenging as it exhibits inherent data dependency during the hierarchical tree construction. In this paper, we design a
parallel implementation of Single-linkage Hierarchical Clustering by formulating it as a Minimum Spanning Tree problem. We further show that Spark is a natural fit for the parallelization of
single-linkage clustering algorithm due to its natural expression
of iterative process. Our algorithm can be deployed easily in
Amazon’s cloud environment. And a thorough performance
evaluation in Amazon’s EC2 verifies that the scalability of our
algorithm sustains when the datasets scale up.
I am Bernard. I am a C Programming Assignment Help Expert at programminghomeworkhelp.com. I hold a Ph.D. in Computer Science from, University of Leeds, UK. I have been helping students with their homework for the past 12 years. I solve assignments related to C Programming.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com.You can also call on +1 678 648 4277 for any assistance with C Programming assignments.
Computer Graphics - Lecture 01 - 3D Programming I💻 Anton Gerdelan
Slides from when I was teaching CS4052 Computer Graphics at Trinity College Dublin in Ireland.
These slides aren't used any more so they may as well be available to the public!
There are some mistakes in the slides, I'll try to comment below these.
This is the second lecture, and introduces programming with OpenGL 4 and shaders.
Lab Practices and Works Documentation / Report on Computer GraphicsRup Chowdhury
This is a report that I have prepared during my Computer Graphics Lab course. This contains the theoretical information that we learned in our introduction class. It also contains information on different computer graphics tools and software. It contains codes to create different and also the procedure.
1. Information on GLUT
2. Flag drawing with GLUT
3. DDA Algorithm
4. Midpoint Line Drawing Algorithm
5. Tansformation
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
2. CS3411 Debugging 2
Debugging Basics
• Will focus on the gcc/gdb combination.
• Will also talk about the ddd gui for gdb (lots of value added to
gdb).
• First, debugging in the abstract:
– Program state is a snapshot of all variables, PC, etc.
– A statement in your program transforms one program state
into another.
– You should be able (at some level) to express what you
expect the state of your program to be after every statement.
– Often state predicates on program state; i.e., “if control is
here, I expect the following to be true.”
• Map into a toy example.
3. CS3411 Debugging 3
Small Example: ave.c
#
inc
lude <s
td
io
.h>
i
n
tsum=0, va
l
,num=0;
doub
le ave;
main(
)
{
whi
le(scanf
(
"%dn"
,&val
)!= EOF){
sum += va
l
;
num++;
}
i
f(num > 0){
ave = sum/num;
p
r
in
t
f
(
"Averageis %f
n"
, ave)
;
}
}
sum should be 0 and num
should be 0.
sum should be the total of
the num input values and
there is no more input.
sum should be the total of
the num input values
processed.
ave should be the floating
point mean of the num input
data values.
4. CS3411 Debugging 4
Small Example: ave.c
% a.out
1
Average i
s 1
.000000
% a.out
1
2
3
Average i
s 2
.000000
% a.out
1
2
3
4
Average i
s 2
.000000
Experienced programmer can probably “eyeball debug” the
program from this output
5. CS3411 Debugging 5
Using gdb
• Make sure to compile source with the -g switch asserted.
• In our case, gcc -gave.c
• Breakpoint: line in source code at which debugger will pause
execution. At breakpoint, can examine values of relevant
components of program state. break command sets a
breakpoint; c
l
ear removes the breakpoint.
• Diagnostic pr
in
t
f
(
)crude, but effective way of getting a snapshot
of program state at a given point.
• Once paused at a breakpoint, use gdb pr
in
t, or displ
ay to show
variable or expression values. disp
lay will automatically print
values when execution halts at breakpoint.
• From a breakpoint, may step or nextto single step the program.
s
tep stops after next source line is executed. nextsimilar, but
executes functions without stopping.
6. CS3411 Debugging 6
Using gdb
• May find out where execution is, in terms of function call chain,
with the where command; also shows function argument values.
• Apply some of this in context of bogus averaging program.
• To make things easier, put the problematic data set in a file
named data.
% a.ou
t < da
ta
Averagei
s 2
.000000
7. CS3411 Debugging 7
Using gdb (ave.c)
% gdb a.ou
t
GNU gdb 6
.1
Copyr
ight 2004 Free Software Foundat
ion,Inc
.
GDB isf
ree so
f
t
ware, covered by the GNU Genera
l Pub
l
i
c
L
icense, and you a
re we
l
come to change i
tand/or d
is
t
r
ibu
t
e
cop
ies ofi
tundercer
ta
in cond
i
t
ions.
Type "show copy
ing"tosee the cond
i
t
ions.
Thereis abso
lu
t
e
ly no war
ran
tyf
or GDB. Type "
show war
ran
ty
”
fo
r de
ta
i
l
s
.
This GDB was conf
igured as "
i586-suse-
l
inux"
.
.
.
Using host
l
i
b
th
read_dbl
ib
rary"
/
l
i
b
/
t
l
s
/
l
ib
th
read_db.so.1"
.
(gdb)
8. CS3411 Debugging 8
Using gdb (ave.c)
(gdb)l
1 #
incl
ude <s
td
i
o.h>
2
3 in
tsum=0, va
l
,num=0;
4 doub
le ave
;
5
6 ma
i
n(
)
7 {
8 whi
l
e(scan
f
(
"%dn"
,&va
l
)!= EOF) {
9 s
um += va
l
;
10 num++;
(gdb)l
11 }
12 i
f(num > 0){
13 ave = sum/num;
14 pr
in
t
f
(
"Averageis%fn"
,ave)
;
15 }
16 }
17
(gdb)
Interesting point: top of main loop.
Another interesting point: just
before ave is computed.
9. CS3411 Debugging 9
Using gdb (ave.c)
(gdb) b
reak 8
Breakpo
i
nt 1 a
t 0x80483dc:f
i
l
e ave
.c
,l
i
ne 8
.
(gdb) b
reak 13
Breakpo
i
nt 2 a
t 0x8048414:f
i
l
e ave
.c,l
i
ne 13
.
(gdb) d
isp
lay num
(gdb) d
isp
lay va
l
(gdb) d
isp
lay sum
(gdb)r <data
Star
t
ing program:/
home/
jmayo/courses
.d …
Breakpo
i
nt 1
, ma
in (
)a
tave
.
c
:8
8 whi
l
e(scanf
(
"%dn"
,&va
l
)!= EOF) {
3: sum = 0
2: va
l = 0
1: num = 0
(gdb) c
Cont
inu
ing.
Breakpo
i
nt 1
, ma
in (
)a
tave
.
c
:8
8 whi
l
e(scanf
(
"%dn"
,&va
l
)!= EOF) {
3: sum = 1
2: va
l = 1
1: num = 1
10. CS3411 Debugging 10
Using gdb (ave.c)
(gdb) c
Cont
inu
i
ng.
Breakpoi
n
t1
, ma
in(
)a
tave.c
:8
8 wh
i
le(scanf
(
"%dn"
,&va
l
)!
= EOF) {
3: sum = 3
2: va
l =2
1: num = 2
(gdb) c
Cont
inu
i
ng.
Breakpoi
n
t1
, ma
in(
)a
tave.c
:8
8 wh
i
le(scanf
(
"%dn"
,&va
l
)!
= EOF) {
3: sum = 6
2: va
l =3
1: num = 3
11. CS3411 Debugging 11
Using gdb (ave.c)
(gdb) c
Cont
inu
i
ng.
Breakpoi
n
t1
, ma
in(
)a
tave.c
:8
8 wh
i
le(scanf
(
"%dn"
,&va
l
)!
= EOF) {
3: sum = 10
2: va
l =4
1: num = 4
(gdb) c
Cont
inu
i
ng.
Breakpoi
n
t2
, ma
in(
)a
tave.c
:13
13 ave = sum/num;
3: sum = 10
2: va
l =4
1: num = 4
12. CS3411 Debugging 12
Using gdb (ave.c)
(gdb) n
14 p
r
in
t
f
(
"
Average i
s %f
n",ave)
;
3: sum = 10
2: va
l =4
1: num = 4
(gdb) pave
$1 = 2
(gdb) p(
doub
le)sum/(doub
le)num
$2 = 2
.5
(gdb) c
Cont
inu
i
ng.
Average i
s 2
.000000
Program ex
i
ted wi
th code 024.
(gdb) q
%
Everything fine until ave is
computed. Integer division the
problem.
Evaluate expression inside
gdb to validate our reasoning.
13. CS3411 Debugging 13
A GUI for gdb: ddd
• The ddd program is just a GUI front-end for gdb.
• Value added three main ways:
– Can mouse left on source line, then mouse left on Break at
(
)
to set a breakpoint. Or mouse right on a source line and set
a breakpoint in the menu that pops up.
– Can mouse left on variable, then mouse left on Pr
in
t
(
)or
Disp
lay(
)to examine data values. Or get value displayed at
bottom of ddd window by ``mouse hovering'' over a variable
name.
– Displayed values graphically displayed. Click on a pointer
value, graphically display thing pointed to. Visualize complex
linked data structures.
• Play with inorder tree traversal program.
14. CS3411 Debugging 14
Using ddd (inorder.c)
Introduce a pointer-related bug into the program by modifying
the inorder() function:
.....
vo
idinorder
(
r
)
s
t
ruc
t node *
r
;
{
inorder
(
r
->
le
f
t
)
;
p
r
in
t
f
(
"%c"
,
r
->data)
;
inorder
(
r
->r
ight
)
;
}
Formerly:
i
f(
r!= NILNODE){
inorder
(
r
->
le
f
t
)
;
p
r
in
t
f
(
"%c"
,
r
->data)
;
inorder
(
r
->r
ight
)
;
}
15. CS3411 Debugging 15
Quickie Post Mortem Debugging (inorder
.
c)
% a.out
Segmenta
t
ionfau
l
t(core dumped)
% gdb a.ou
tcore
GNU gdb 6
.1
..........
Core was generated by `
.
/a
.ou
tcore
'
.
Program te
rminated w
i
ths
igna
l 11, Segmenta
t
ion fau
l
t
.
..........
Read
ing symbo
l
sf
rom /
l
i
b/
t
l
s
/
l
ibc.
so
.6
.
.
.done.
Loaded symbolsfo
r/
l
i
b
/
t
l
s
/
l
ibc
.so.6
Read
ing symbo
l
sf
rom /
l
i
b/
ld
-
l
inux
.so
.2
.
.
.
done.
Loaded symbolsfo
r/
l
i
b
/
l
d-
l
inux
.so.2
#0 0x080484d5i
ninorder(
r=0x0) a
tbuggy_
inorder
.c
:38
38 inorder
(
r
->
le
f
t
)
;
(gdb)
Function in which segfaulted.
Arguments to function.
Line of source where segfaulted.
16. CS3411 Debugging 16
Quickie Post Mortem Debugging (inorder
.
c)
(gdb) where
#0 0x080484d5i
ninorder(
r=0x0) a
tbuggy_
inorder
.c
:38
#1 0x080484ddi
ninorder(
r=0x804a008) a
tbuggy_
inorder
.c
:38
#2 0x080484ddi
ninorder(
r=0x804a028) a
tbuggy_
inorder
.c
:38
#3 0x080484ddi
ninorder(
r=0x804a048) a
tbuggy_
inorder
.c
:38
#4 0x080484ddi
ninorder(
r=0x804a068) a
tbuggy_
inorder
.c
:38
#5 0x08048479i
n main(
)a
t buggy_
inorder
.c
:21
The above listing walks back the call chain as it was at the moment
of the segfault.
Clear that we dereferenced a null pointer in a call to i
norder
(
)at
a leaf node of the binary tree.
20. CS3411 Debugging 20
Debugging Tips
• Examine the most recent change
• Debug it now, not later
• Read before typing
• Make the bug reproducible
• Display output to localize your search
• Write a log file
• Use tools
• Keep records