There are many values of the same type about 1000, for example:
Clearance lights
left
operable
defective
on the right
operable
defective
Fog light
provided
not provided
available
installed
not installed
state
operable
defective
Clearly an optimization of storage and transfer is called for, but I can't think of anything useful. Do you have any tips?
Related
My goal is to instrument the region-of-interest of a program in syscall emulation mode. I have already implemented pseudo instructions for full system mode based on this tutorial. It is time consuming though to test everything in FS after I make even a small change. Is there any way to implement the same functionality for syscall mode?
So I found what the problem was. You need to remove all mentions of mmap. So in my case it would be removing the include of m5_mmap.h in the microbenchmark and not calling map_m5_mem() first thing in main(). Just call m5_roi_begin() and m5_roi_end() (or however you call your instrumentation functions).
Also in the gem5 x86 makefile (gem5/util/m5/Makefile.x86) remove the
-DM5OP_ADDR=0xFFFF0000
flag and compile again (make -f Makefile.x86). Now when I run the microbenchmark with gem5, I can see when the ROI starts and ends. Everyting else remains the same, as I've posted in a comment above to the question.
Thanks Ciro.
For instance, lets say hypothetically that we have access to the Windows source code.
Now can we modify the source code to operate entirely on ext4 file system, instead of NTFS, just by changing the code modules that depend on the exact file system being used? Or will major changes in the way the kernel works be needed?
To what extent does the file system being used affect the kernel design?
(Note: You can switch the above example with the case of ReactOS, which is an open source clone of Windows 2000 and supports only FAT file system, and ext4.
Moreover, I know that Windows source code is not available to public so a definitive opinion cannot be given. I'm asking based on whatever is known about Windows internals, for my given example, and as per general principles of Kernel design.)
Generally, the OS kernel is not dependent upon file systems. Most operating systems support multiple file systems.
I have a MATLAB program that I intend to run on different machines. Is there a way to get, from within MATLAB itself, the following info:
Name of machine
Specs of machine, especially processor and memory configuration
Number of cores deployed for MATLAB
I know the command computer but I require more than what it outputs. I'd like to write all the info above to a text file.
You are looking for the following:
1) To check the type of computer on which MATLAB is executing, use: computer .
2) The following displays information about your Windows:
winqueryreg('HKEY_LOCAL_MACHINE',...
'Software\Microsoft\Windows NT\CurrentVersion','ProductName')
or in general, to get information about the OS, use: feature('GetOS').
3) To check number of processors, use: getenv('NUMBER_OF_PROCESSORS').
4) To check CPU information, use: feature('GetCPU').
5) To get information about cores, use: feature('numCores') .
6) To check memory used by MATLAB, total physical memory and some other information, use: memory.
Note that:
Some of the above are undocumented and taken from Yair Altman's blog.
Finally, to write data in a text file, you can use: fprintf .
Emacs takes unbelievably long to start without a fully qualified domain name (FQDN).
I would like to know what elisp commands in the .emacs file could speed it up without a FQDN e.g. using a fake system-name.
You can't solve this issue in ~/emacs since the wait takes place before this file is even loaded.
I have seen this documentation but I really couldn't be sure what exactly is "external mode".(SS_SIMMODE_EXTERNAL)
Why am I worried?
I have a simulink model that contains a sfunction. Inside This sfunction there is a mexCallMatlab command. So, this will only work if the model is running under matlab environment.
Otherwise, if running in a compiled mode, this command will not work.
That leads us back to the original question: does "external mode" differentiates whether the model is running under matlab environment or compiled mode?