The file is not a valid win32

You execute the library ?

I invoke it using deno ffi

Hello my Friends In qt creator may I write c codes?

hi, yes

Thanks How?

you can create Cmake project and open it

Cmake is now default in Qt Creator

In linux?

You got a job after a c++ course?

umm

nobody knows how the a GPT disk is booted?

How can I write a program to print the number of distinct outcomes when “n” dice are rolled?

There are 6^n outcomes for n rolls of the dice. If by distinct you mean different outcomes on each roll, then there are n! outcomes.

nobody knows how the a GPT disk is booted?

Like when 2 dice are thrown, Let us assume two outcomes are (2,3) and (3,2) In this we have to count these two outcomes as 1

If you have 7 dice then, is the outcome 1,1,1,1,1,1,2 same as the outcome 2,1,1,1,1,1,1

Booting is a huge topic. Just ask a specific question. People might answer if they know. Booting doesn't concern itself with the partition table (MBR or GPT). In particular, if you are using a GPT partitioning scheme, then it is highly likely that you are booting a UEFI system. The UEFI can recognise an EFI partition and therefore load the bootloader directly from there unlike on an old BIOS system where you need the bootloader split across multiple stages with each stage progressively doing more work to get ato a stage where the bootloader can read from a specific disk partition and load the kernel from there. That is why BIOS based systems require a ramdisk which contains file system code. UEFI systems got rid of this requirement.

Yes. We have to count them as 1

*UEFI got rid of that requirement provided you use a file system supported by UEFI bootloaders

I mentioned that specifically saying UEFI can read directly from an EFI partition. It has the code hardwired to read an EFI partition

It can also bootstrap from some other partition formats and read them directly which is what I meant. It can allow to read a Linux kernel from an ext2 partition without having a stage for that for example. (it doesn't work with OpenBSD ufs :pepehands:)

Oh you meant that it supports other filesystems. Well I haven't tried that. Generally I create an EFI partition using a FAT32 partitioning scheme on my SSD.

You know me and my crazy schemes

According to Wiki, the UEFI mandates FAT16 or FAT32 partitioning scheme for the system EFI partition. Have you tried an EXT2 filesystem for the EFI partition?

Yup, what that means is that UEFI mandates implementers to implement at least FAT16 and FAT32

Yes I understood that part. That is why I asked if you have tried it on EXT2 or EXT4?

Please , anyone can tell me what should I do after completing a course . To get better at c++ .

Practice, make your own projects

Cmake is now default in Qt Creator

Excuse me again C in qt hasn't GUI environment?

Qt Creator can open non Qt projects

I don't understand why my main.c does not compile. I am including the proper header file but it says some functions are undefined... /usr/bin/ld: /tmp/ccni9yBC.o: in function `main': main.c:(.text+0x30): undefined reference to `map_get' /usr/bin/ld: main.c:(.text+0x71): undefined reference to `map_put' /usr/bin/ld: main.c:(.text+0x87): undefined reference to `map_get' And they are defined in hashmap.h and hashmap.c Files are found here: https://github.com/igoracmelo/studying-c/tree/master/hashmap

You have to link hashmap.o with main.o. I guess you tried compiling just main.c, hoping the compiler would find hashmap.c on its own. That is not how a C/C++ compiler works. You have to specify all the files that need to be compiled explicitly. Only then the compiler will attempt to link these files together and piece together missing information at the linking stage.

it just runs cmake, make and gcc/g++, also gdb when needed, so it is full set of plain C development

Hi everyone. I’m struggling with algorithm on A x 2*B+1 and 2*B+1 x C matrices multiplication using SIMD. Is there any good resource out there on this particular case? I would greatly appreciate if someone could show me one.

What algorithm are you using for multiplying the matrices? If you are using the naive n^3 algorithm, then vectorizing it is straightforward. If you are using Strassen's algorithm then there is quite a bit of work involved. For naive algorithm, you would've computing c[i][j] as Σ(a[i][k]*b[k][j]) for i,j,k running through the respective dimensions. Each element c[i][j] in the destination matrix is the dot product of row vector a[i] with column vector b[j] i.e. Σ(a[i][k]*b[k][j]) The naive way to do this would be to increase i,j and k all by 1 at each step and carry out the multiplications n^3 times which is what gives the complexity. This is also inefficient because calculating the value of each cell in the destination matrix is a memory bound operation that increases the latency involved. The easiest way to vectorize this would be to evaluate the dot product of a row vector from matrix A with 4 column vectors from matrix B to compute 4 elements in the destination matrix at the same time. This is shown in the image below.

What algorithm are you using for multiplying the matrices? If you are using the naive n^3 algorithm, then vectorizing it is straightforward. If you are using Strassen's algorithm then there is quite a bit of work involved. For naive algorithm, you would've computing c[i][j] as Σ(a[i][k]*b[k][j]) for i,j,k running through the respective dimensions. Each element c[i][j] in the destination matrix is the dot product of row vector a[i] with column vector b[j] i.e. Σ(a[i][k]*b[k][j]) The naive way to do this would be to increase i,j and k all by 1 at each step and carry out the multiplications n^3 times which is what gives the complexity. This is also inefficient because calculating the value of each cell in the destination matrix is a memory bound operation that increases the latency involved. The easiest way to vectorize this would be to evaluate the dot product of a row vector from matrix A with 4 column vectors from matrix B to compute 4 elements in the destination matrix at the same time. This is shown in the image below.

Thanks for replying. I'm familiar with Strassen and naive way. The problem is that I want to achieve vectorization manually: using Intel intrinsics only. Do you think it worth trying, or should I let the compiler do the job?

C R sent a huge message, it has been re-uploaded as a file Hello I am doing basic one program of overflow in which I have a doubt Program: #include<bi..

Thanks for replying. I'm familiar with Strassen and naive way. The problem is that I want to achieve vectorization manually: using Intel intrinsics only. Do you think it worth trying, or should I let the compiler do the job?

Here is a Stackoverflow link on trying to auto vectorize matrix multiplication code : https://stackoverflow.com/questions/43512852/c-matrix-multiplication-auto-vectorization The author is forcing the compiler to auto vectorize the naive matrix multiplication algorithm but the compiler specifically warns that it won't be able to do so because of non contiguous array access (in matrix B, you are accessing elements across a column which are non contiguous). This is the reason why, you must explicitly ensure that both matrices are not stored in row major form and then only attempt to auto vectorize matrix multiplication or you must use Intrinsics yourself to force vectorization.

Hello can you help me ? I have a problem in c++ language

Hello can you help me ? I have a problem in c++ language

Don't ask to ask :p

And do we use all of them?

Hi Do you have any idea how to show the binary form of a double?

convert it to uint32_t (but you have to use reinterpret_cast or C style cast to cast address of double in memory) and use binary shift and binary and (&) double a = 10.0; uint32_t b = *(uint32_t*) &a;

just google this question. The main library which provided with compiler is STL. It has minimal amount of basic data structures/algorithms and some others stuff (like threads, times, I/O). "do we use all of them?" totally strange question. You use it if you need it. You can work with boost types or some proprietal (ex. embedded) and forget about STL but in general all components from STL are useful.

What STL is?

What is the difference between iostream and studio.h?

standard library (read my prev message to understand what inside stl). Just google it please. it will be much faster to understand.