testing [email protected] · Thu Nov 02 2023

write a snippet code to make my code in c++ faster

N/A

: Please provide more context about the specific C++ code and what optimization you want to achieve, so I can assist you better.

When you start writing your code in C, C++ or any other programming language, your first objective might be to write a program that works. After you accomplished that, the following are few things you should consider to enhance your program. Security of the program Memory consumption Speed of the program (Performance Improvement) This article will give some high-level ideas on how to improve the speed of your program. Few general points to keep in mind: You could optimize your code for performance using all possible techniques, but this might generate a bigger file with bigger memory footprint. You might have two different optimization goals, that might sometimes conflict with each other. For example, to optimize the code for performance might conflict with optimize the code for less memory footprint and size. You might have to find a balance. Performance optimization is a never-ending process. Your code might never be fully optimized. There is always more room for improvement to make your code run faster. Sometime we can use certain programming tricks to make a code run faster at the expense of not following best practices such as coding standards, etc. Try to avoid implementing cheap tricks to make your code run faster. 1. Optimize your Code using Appropriate Algorithm For any code you write, you should always take some time to think through and pick the right algorithm to use for your specific scenario. The problem we are going to analyze for this example is to find a maximum value of the function in a two dimensional segment. Well consider only whole numbers. First well write the program without consider performance. Then, well discuss few ways to boost the performance of this program. Our Scenario: We have interval for x [-100100] and interval for y [-100100]. Now in these two intervals we are looking for a maximum of the function (x*x + y*y)/(y*y + b). This is a function of two variables: x and y. There is one more constant which could be different and user will enter it. This constant b is always greater than 0 and also lesser than 1000. In our program ,we will not use function pow() that is implemented in math.h library. It would be interesting exercise to figure out which approach would create faster code. Example code: #include <iostream> #define LEFT_MARGINE_FOR_X -100.0 #define RIGHT_MARGINE_FOR_X 100.0 #define LEFT_MARGINE_FOR_Y -100.0 #define RIGHT_MARGINE_FOR_Y 100.0 using namespace std; int main(void) { //Get the constant value cout<<"Enter the constant value b>0"<<endl; cout<<"b->"; double dB; cin>>dB; if(dB<=0) return EXIT_FAILURE; if(dB>1000) return EXIT_FAILURE; //This is the potential maximum value of the function //and all other values could be bigger or smaller double dMaximumValue = (LEFT_MARGINE_FOR_X*LEFT_MARGINE_FOR_X+LEFT_MARGINE_FOR_Y*LEFT_MARGINE_FOR_Y)/ (LEFT_MARGINE_FOR_Y*LEFT_MARGINE_FOR_Y+dB); double dMaximumX = LEFT_MARGINE_FOR_X; double dMaximumY = LEFT_MARGINE_FOR_Y; for(double dX=LEFT_MARGINE_FOR_X; dX<=RIGHT_MARGINE_FOR_X; dX+=1.0) for(double dY=LEFT_MARGINE_FOR_Y; dY<=RIGHT_MARGINE_FOR_Y; dY+=1.0) if( dMaximumValue<((dX*dX+dY*dY)/(dY*dY+dB))) { dMaximumValue=((dX*dX+dY*dY)/(dY*dY+dB)); dMaximumX=dX; dMaximumY=dY; } cout<<"Maximum value of the function is="<< dMaximumValue<<endl; cout<<endl<<endl; cout<<"Value for x="<<dMaximumX<<endl <<"Value for y="<<dMaximumY<<endl; return EXIT_SUCCESS; } Now, if we analyze the code more carefully, we notice that the part for dX*dX is calculated more times than it should, in this case it is calculated 200 times and this is a was of CPU time. What we could do? One of the trick is to create one variable dX_Squer = dX*dX, and calculate after first for repetition, then we could use that in all calculations afterwards. You just need to add one more brackets. There are few more optimizations you can do in the above code, just try to spot them. The next point we could consider is how general our algorithm is, versus how optimal is it from speed point of view

thegeekstuff.com

Embedded software often runs on processors with limited computation power, thus optimizing the code becomes a necessity. In this article we will explore the following optimization techniques for C and C++ code developed for Real-time and Embedded Systems. Premature optimization is the root of all evil Adjust structure sizes to power of two Place case labels in narrow range Place frequent case labels first Break big switch statements into nested switches Minimize local variables Declare local variables in the inner most scope Reduce the number of parameters Use references for parameter passing and return value for types bigger than 4 bytes Don't define a return value if not used Consider locality of reference for code and data Locality of reference in multi-dimensional arrays Prefer int over char and short Define lightweight constructors Prefer initialization over assignment Use constructor initialization lists Do not declare "just in case" virtual functions In-line 1 to 3 line functions Avoid cascaded function calls Prefer preincrement over postincrement Define move constructors in C++11 Use hardware accelerators and SIMD hardware Use profile guided optimization Many techniques discussed here have roots in the material we covered in the articles dealing with C to Assembly translation. A good understanding of the following articles will help: C To Assembly Translation Premature optimization is the root of all evilDonald Knuth wrote, "Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%." In general, correctness and readability considerations trump code performance issues for most of your code. For a small fraction of your code, you may have to sacrifice readability to improve performance. Such optimizations should be carried out when the project is nearing completion. You have a better idea of the performance critical code when you have a working system. That said, it is important to recognize that many optimization techniques are just sound programming practices as they improve performance as well as code readability. Such techniques should be applied right from the project start. Adjust structure sizes to power of two When arrays of structures are involved, the compiler performs a multiply by the structure size to perform the array indexing. If the structure size is a power of 2, an expensive multiply operation will be replaced by an inexpensive shift operation. Thus keeping structure sizes aligned to a power of 2 will improve performance in array indexing. Place case labels in narrow range If the case labels are in a narrow range, the compiler does not generate an if-else-if cascade for the switch statement. Instead, it generates a jump table of case labels along with manipulating the value of the switch to index the table. This code generated is faster than if-else-if cascade code that is generated in cases where the case labels are far apart. Also, performance of a jump table based switch statement is independent of the number of case entries in switch statement. Place frequent case labels first If the case labels are placed far apart, the compiler will generate if-else-if cascaded code with comparing for each case label and jumping to the action for leg on hitting a label match. By placing the frequent case labels first, you can reduce the number of comparisons that will be performed for frequently occurring scenarios. Typically this means that cases corresponding to the success of an operation should be placed before cases of failure handling. Break big switch statements into nested switches The previous technique does not work for some compilers as t

eventhelix.com

This is an approximate transcript of my talk at Facebook NYC on December 4, 2012, which discusses optimization tips for C++ programs. The video of the talk is here and the accompanying slides are here. Scope Commonly given advice about approaching optimization in general, and optimization of C++ code in particular, includes: Quoting Knuth more or less out of context The classic one-two punch: (a) Dont do it; (b) Dont do it yet Focus on algorithms, not on micro-optimization Most programs are I/O bound Avoid constructing objects unnecessarily Use C++11s rvalue references to implement move constructors Thats great advice, save for two issues. First, it has becomed hackneyed by overuse and is often wielded to dogmatically smother new discussions before they even happen. Second, some of it is vague. For example, choose the right algorithm is vacuous without a good understanding of what algorithms are best supported by the computing fabric, which is complex enough to make certain algorithmic approaches better than others overall. So I wont focus on the above at all; I assume familiarity with such matters and a general Ok, now what to do? attitude. With that in mind, Ill discuss simple high-level pieces of advice that are likely to lead to better code on modern computing architectures. There is no guarantee, but these are good rules of thumb to keep in mind for efficiently exploring a large optimization space. Things I shouldnt even As mentioned, many of us are familiar with the classic advice regarding optimization. Nevertheless, a recap of a few advanced basics is useful for setting the stage properly. Todays CPUs are complex in a whole different way than CPUs were complex a few decades ago. Those older CPUs were complex in a rather deterministic way: there was a clock; each operation took a fixed number of cycles; each memory access was zero-wait; and generally there was little environmental influence on the implacable tickingno pipelining, no speculation, no cache, no register renaming, and few unmaskable interrupts if at all. That was a relatively simple model to optimize against. Todays CPUs, however, have long abandoned simplicity of their performance model in favor of achieving good performance statistically. Todays deep cache hierarchies, deep pipelines, speculative execution, and many amenities for detecting and exploiting instruction-level parallelism make for faster execution on averageat the cost of deterministic, reproducible performance and a simple mental model of the machine. But no worries. All we need to remember is that intuition is an ineffective approach to writing efficient code. Everything should be validated by measurements; at the very best, intuition is a good guide in deciding approaches to try when optimizing something (and therefore pruning the search space). And the best intution to be ever had is I should measure this. As Walter Bright once said, measuring gives you a leg up on experts who are too good to measure. Aside from not measuring, there are a few common pitfalls to be avoided: Measuring the speed of debug builds. Weve all done that, and people showing puzzling results may have done that too, so keep it in mind whenever looking at numbers. Setting up the stage such that the baseline and the benchmarked code work under different conditions. (Stereotypical example: the baseline runs first and changes the memory allocator state for the benchmarked code.) Including ancillary work in measurement. Typical noise is added by ancillary calls to the likes of malloc and printf, or dealing with clock primitives and performance counters. Try to eliminate such noise from measurements, or make sure its present in equal amounts in the baseline code and the benchmarked code. Optimizing code for statistically rare cases. Making sort work faster for sorted arrays to the detriment of all other arrays is a bad idea (http://stackoverflow.com/questions/6567326/does-stdsort-check-if-a-vector-is-already-sorted). A few

engineering.fb.com

explain difference between dfs and bfs

In computer science, Depth First Search (DFS) and Breadth First Search (BFS) are two algorithms used to traverse through a graph or tree data structure.

DFS traverses a graph by exploring as far as possible along each branch before backtracking. It starts from a single vertex and explores as far as possible along each branch before backtracking. The vertices are explored in a depth-first order, meaning that vertices that are distant from the starting vertex are visited later than vertices that are closer. DFS is often used for problems such as finding connected components in a graph, finding the shortest path, and solving puzzles.

On the other hand, BFS traverses a graph by exploring all the adjacent vertices at the current depth level before moving to the next level. It starts from a single vertex and then visits its neighbors, then its neighbors' neighbors, and so on until all vertices have been visited. The vertices are explored in a breadth-first order, meaning that vertices that are at the same distance from the starting vertex are visited before vertices that are further away. BFS is often used for problems such as finding the shortest path, finding all paths between two vertices, and solving problems related to graphs and trees.

In summary, DFS explores as deep as possible, while BFS explores as wide as possible.

possible oscar 2024 nominees

In addition to Air and 2018: Everyone Is A Hero, there are several other movies that are being considered for Oscars 2024. Here is a list of some of the other possible nominees:

  1. Beneath the Surface: This drama tells the story of a struggling addict who returns to his hometown to confront his demons and reconnect with his family. Directed by Martin Sheen, the movie stars Jerry Harrison, Goldie Hawn, and Michael Clarke Duncan.
  2. Breakfast on the Grass: This black comedy explores the lives of a group of people as they navigate the complexities of relationships and personal growth. Directed by Sarah Silverman, the movie stars Nick Kroll, Maya Rudolph, and Evan Rachel Wood.
  3. Cipher: This psychological thriller follows a woman who discovers that her husband has been secretly transmitting classified information. Directed by Jon Turteltaub, the movie stars Hilary Swank, Dylan Baker, and Vincent D'Onofrio.
  4. Everybody Black?: This satire follows a group of people as they navigate life in a post-apocalyptic world where all humans have developed different shades of black skin. Directed by Spike Lee, the movie stars Jake Gyllenhaal, Topher Grace, and Dave Chappelle.
  5. Goodbye Friend: This coming-of-age drama tells the story of a group of childhood friends who must come to terms with the loss of one of their own. Directed by Judd Apatow, the movie stars Ansel Elgort, Timothée Chalamet, and Florence Pugh.
  6. Gucci: This black comedy is based on the true story of Rudolph Giuliani's fall from grace and subsequent conviction for corruption. Directed by Ridley Scott, the movie stars Adam Gosling, Lady Gaga, and Al Pacino.
  7. Hopelessly Devoted: This musical comedy follows a woman who falls deeply in love with her celebrity crush, but must confront the fact that her life is in turmoil. Directed by Gwyneth Paltrow, the movie stars Craig Geller, Emma Watson, and Ben Stiller.
  8. Invisible: This documentary follows the lives of people who have been invisible to society for various reasons, including disability, homelessness, and poverty. Directed by James Marsh, the

The 2024 Oscars telecast may still be over 4 months away(March 10, 2024) but that doesn't mean Hollywood is taking its eyes off the prize. Last year's eventual Best Picture winner Everything Everywhere All At Oncepremiered in March and a whole slew of Oscar hopefuls are now making their way through the festival circuit and to theaters and streaming platforms near you.Every movie released theatrically between Jan. 1, 2023 and Dec. 31, 2023 is eligible for a little gold man. Plenty of contenders have already emerged and predictions are being made. Massive blockbusters are in the hunt for Sound and Visual Effects Oscars, indie documentaries are hoping to slowly gain momentum and actors are already schmoozing voters and building buzz. Nominations morning will be here before you know it!To aid you in choosing which movies to watch and keep you up-to-date on the Oscar race, here's a list of all the films released to date (through October 2023) that have some Oscar buzz.I'll be updating this post as we progress through the season.2024 Oscar Movie ContendersAirWarner Bros./Amazon Studios1. AirWhat it's about:The Nike executives who came up with the idea for Air Jordan sneakers and then convinced Michael Jordan (and his mom) to sign on to one of the most lucrative sports endorsement deals of all time.Why it has buzz:Not only has the film done well in the box office and with critics (it has a 93% on Rotten Tomatoes), but it's also from the Matt Damon/Ben Affleck dream team who have seven nominations and three wins between them.Potential nominations: Air could be the "dad movie" contender of 2023 scooping up that slot in the Best Picture lineup (previously occupied by the likes of Top Gun, King Richardand Ford v. Ferrari). Viola Davis, an Oscar favorite, could also sneak into the Best Supporting Actress race for a couple of excellent scenes as Michael Jordan's mom. Original Screenplay and Film Editing are also within reach.Related: Everything to Know about Air2. Anatomy of a FallWhat it's about: A child finds his father's dead body outside of his house. Did he jump? Did he fall? Or was he pushed? A French legal thriller ensues.Why it has buzz: Anatomy of a Falldebuted at the Cannes Film Festival where it received rave reviews AND took home the festival's top prize. That puts it as the clear frontrunner for Best International Feature right?Potential nominations: THINK AGAIN! France actually did not submit Anatomyas their entry into the Best International Feature race (and due to weird rules each country gets one movie eligible there). However, it is still eligible for plenty of other awards. Best Picture, Original Screenplay and Director are all in play. Perhaps most likely, however, is a Best Actress nom for Sandra Huller. The German actress is not only stunning here but also in Zone of Interestwhich became the Best International Feature front runner when Anatomywasn't submitted.Ant-Man and the Wasp: QuantumaniaMarvel/Disney3. Ant-Man and the Wasp: QuantumaniaWhat it's about: Ant-Man and his family get sucked into the quantum realm (aka they shrink real small) and then do battle against an evil guy named Kang.Why it has buzz: MCU films have racked up 26 Oscar nominations since its debut in 2009, and have only been snubbed twice in years they were eligible. It's likely that at least one MCU film gets nominated for an Oscar this year, and it could be this one.Potential nominations: Most of the MCU's Oscar nominations have come in the Best Visual Effects category, so if this shows up on nomination morning, it will most likely be in that category.Asteroid CityFocus Features4.Asteroid CityWhat it's about:A group of brainiac kids attend a stargazing convention in the middle of the desert along with their parents. Ennui follows.Why it has buzz:Wes Anderson, the film's director, has been circling an Oscar for years (he's got seven nominations) and his last successful live action film The Grand Budapest Hotelearned a whopping nine Oscar nominatio

parade.com

homeentertainment NewsMalayalam film '2018 Everyone Is A Hero' India's official entry for Oscars 2024Now, 2018 will compete for the Best International Feature Film Oscar, a category that was previously titled Best Foreign Film.Malayalam film 2018: Everyone Is A Hero starring Tovino Thomas is Indias official entry for the 2024 Academy Awards, the Oscar Committee headed by Kannada film director Girish Kasaravalli announced today. The film will only be eligible for the award if it finds a place on the nomination list. According to reports, several screenings of the movies under consideration have taken place in Chennai for the Oscar Committee in the last few days. The final selection list for Oscars 2024 was announced today, September 27.The final decision was taken by the 16 jury members of the Oscar Committee, which is headed by filmmaker Girish Kasaravalli, News18 reported.2018: Everyone Is A Hero narrates the stories of humanity triumphing over adversity set in the backdrop of the 2018 floods that devastated parts of Kerala.In the film, Tovino Thomas plays the role of a young man who leaves the Indian Army with a fake medical certificate and redeems himself during the floods. The film also stars Asif Ali, Lal, Narain, Kunchacko Boban and Aparna Balamurali in prominent roles.2018 emerged as a massive hit at the box office and the performances were praised by critics and audiences alike.Now, 2018 will compete for the Best International Feature Film Oscar, a category that was previously titled Best Foreign Film.No Indian entry has been nominated for Best International Feature Film at the Oscars since Lagaan in 2002.Earlier reports said that the committee has received over 22 entries from across the country.Some of the films have been sent to the Film Federation of India for Oscar selection including names such as Anant Mahadevans The Storyteller (Hindi), Music School (Hindi), Mrs Chatterjee vs. Norway (Hindi), 12th Fail (Hindi), Viduthalai Part 1 (Tamil), Ghoomer (Hindi), and Dasara (Telugu). The source added. The list might add movies such as Vaalvi (Marathi), Gadar 2 (Hindi), Ab Toh Sab Bhagwan Bharose (Hindi), and Baap Layak (Marathi), a source was quoted as saying by the Hindustan Times.According to the Times of India, the contenders for the Oscars 2024 include, Balagam, The Kerala Story, Zwigato, Rocky Aur Rani Kii Prem Kahaani, Baap Layak, Ab Toh Sab Bhagwan Bharose, Gadar 2, Valvi, Dasara, Ghoomer, Viduthalai Part 1, 12th Fail, Mrs. Chatterjee vs Norway, Music School, and The Story Teller.Prior to this, the 95th Oscar Awards that took place on March 13 made the moment unforgettable for India as it won big at the prestigious awards in different given categories. In Oscars 2023, Pan Nalins Gujarati film Last Film Show (Chello Show) was Indias official entry for the category of Best International Feature Film. Additionally, SS Rajamoulis RRR song Naatu Naatu won in the Best Original Song while Kartiki Gonsalves and Guneet Mongas directed The Elephant Whisperers won in the category of Documentary Short.Besides the awards, the 95th Academy Awards were also memorable as Hindi film actor Deepika Padukone was one of the presenters at the event joining many others such as Emily Blunt, Samuel L Jackson, Dwayne Johnson, Michael Jordan, and Melissa McCarthy among many.(Edited by : Sudarsanan Mani)First Published:Sept 27, 2023 11:57 AM IST

cnbctv18.com

The year 2023 marked a significant milestone in the history of Indian cinema as Telugu cinema proudly showcased its prowess on the global stage by winning two prestigious Oscar awards for 'RRR,' directed by SS Rajamouli. While this achievement left an indelible mark on Indian cinema, the anticipation for the Oscars in 2024 is already building up. India, known for its diverse and vibrant film industry, has a rich tradition of producing exceptional films, many of which are now vying for the official entry to the Oscars.As the selection process kicks off, a 17-member Oscar committee, chaired by renowned filmmaker Girish Kasaravalli, is meticulously evaluating the submissions at a venue in Chennai.The ContendersAs of now, a total of 22 films from various corners of India have officially entered the competition for the coveted Oscar nomination. Let's take a closer look at some of these remarkable films:The Story Teller (Hindi): An intriguing narrative that has garnered attention for its unique storytelling.Music School (Hindi): A musical journey that resonates with the soul.Miss Chatterjee vs. Norway (Hindi): A compelling story that explores the clash of cultures and identities.12th Fail (Hindi): A thought-provoking tale that delves into the challenges of the Indian education system.Viduthalai Part 1 (Tamil): The struggle between his duty as a policeman and his morality as a human being had never been so agonizing. Ghoomer (Hindi): A heartwarming and inspirational tale of triumph over adversity, friendship, and the power of innovation in the world of sports. Dasara (Telugu): An intriguing thriller that keeps audiences on the edge of their seats.Valvi (Marathi): A poignant Marathi film that tackles important social issues.Gadar2 (Hindi): A sequel to the iconic Gadar franchise, promising high-octane action and drama.Ab Toh Sab Bhagwan Bharose (Hindi): A heartwarming story that explores faith and spirituality.Baap Layak (Marathi): A Marathi film that captivates audiences with its storytelling.Rocky Aur Rani Kii Prem Kahaani (Director: Karan Johar): Karan Johar's take on love and relationships.Zwigato (Director: Nandita Das): A film that tugs at the heartstrings and has garnered international attention.The Kerala Story (Director: Vivek Agnihotri): A gripping tale that sheds light on the complexities of religious extremism, its devastating consequences, and the resilience of the human spirit.Balagam: A film that has struck a chord with audiences and critics alike.After careful evaluation and deliberation, the Oscar committee will choose one film to represent India in the 'Best Foreign Film' category at the Oscars in 2024. Many of these films have already garnered acclaim on international platforms, with 'Viduthalai Part 1' even making it to the top 50 list on Letterboxd. Film analysts are speculating that 'Zwigato' and 'Balagam,' with their emotionally resonant storytelling, stand strong chances of securing the coveted Oscar entry.

m.timesofindia.com

teach me on how to create b tree step by step

B-tree is a data structure used to organize and search for data in a sorted manner. It consists of nodes that contain data and pointers to other nodes in the tree. Here are the steps to create a B-tree by step:

  1. Define the data structure for a node in the B-tree. The node should contain a key, or value, as well as an array of pointers to other nodes in the tree.
struct Node { int key; Node* left; Node* right; };
  1. Define the height function, which returns the height of a given node in the tree.
int height(Node* node) { if (node == NULL) { return -1; } 1 + std::maxheight(node->left), height(node->right)); }
  1. Define the balance factor function, which returns the balance factor of a given node in the tree.
int balanceFactor(Node* node) { if (node == NULL) { return 0; } return height(node->right) - height(node->left); }
  1. Define the insert function, which adds a new node to the B-tree at the appropriate location. The function should first search the tree for a matching key and then down-rotate the tree as to maintain balance.
Node* insert(Node* node, int key) if ( == NULL { return &Node{key}; } if (key < node->key) { node->left = insert(node->left, key); } else { node->right = insert(node->right, key); } int height_left = height(node->left); int height_right = height(node->right); if (height_left < height_right) { node = rotateRight(node); } else if (height_left > height_right && height_right > 1) { node = doubleRotateRight(node); } return node;