decomp | Components of a decompilation pipeline | Compiler library

I'm trying to do a heat map in GnuPlot. Here's the data:

I got it working with this data layout:

...but I had to round the Y Axis values to the nearest 5 to get them to fit in the exact rows of the grid.

So I'm trying to figure out a more 3D data layout. I tried something like this:

I have a dataset with 7 columns - level,Time_30,Time_60,Time_90,Time_120,Time_150 and Time_180

My main goal is to do a time-series anomaly detection using cell count in a 30-minute interval.

I want to do the following data preparation steps:

(I) melt/reshape the df into the appropriate time-series format (from wide to long)- consolidate the columns time_30, time_60 ,....., time_180 into one column time with 6 levels (30,60,.....,180)

(II) since the result from (I) comes out as 30,60,.....180, I want to set the time column as the appropriate time or date format for time-series (something like this '%H:%M:%S')

(III) use a for-loop to plot the time-series plot for each level - A, B,...., F) for comparison purposes.

(IV) Anomaly detection

I'm trying to run copy of data processing pipeline, that correctly working on cluster, on local machine with hadoop and hbase working in standalone mode. Pipeline contains few mapreduce jobs starting one after another and one of these jobs has mapper that does not write anything in output (depends on input, but it does not write anything in my test), but has reducer. I receive this exception during this job running:

I'm using the svars package to generate some IRF plots. The plots are rendered using ggplot2, however I need some help with changing some of the aesthetics.

Is there any way I can change the fill and alpha of the shaded confidence bands, as well as the color of the solid line? I know in ggplot2 you can pass fill and alpha arguments to geom_ribbon (and col to geom_line), just unsure of how to do the same within the plot function of this package's source code.

I want to move on the device the whole while loop in the main. The problems emerges when I add #pragma acc host_data use_device(err) to MPI_Allreduce (&err, &err, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);.

The error is that the reduction on err doesn't work so that the code exit after one step from the loop.

After the MPI_Allreduce(), even using #pragma acc update self(err), err is still equal to zero.

I'm compiling with mpicc -acc -ta=tesla:managed -Minfo=accel -w jacobi.c And running with mpirun -np 2 -mca pml ^ucx ./a.out

Could you help me to find the error?

I have a dataset of tiff images that needs to be decomposed. Each file has 50 frames and currently i'm decomposing one by one, but compared to the amount of images that i have, it'll take a long long time to decompose every single one of them. My goal is for every tiff file inside a folder, i'd like to decompose and store them inside a separate folder, where every tiff image will always have 50 frames, for example:

inside C:\Dataset\tiff-images\

i have tiff-image1, tiff-image2, tiffimage3, tiffimage4.

Still inside the same directory i have the folders: tiff-image1, tiff-image2, tiff-image3, tiff-image4.

Basically, what i would like is to simply iterate through as many tiff-images inside the directory and decompose them inside their respective folder by creating a folder in-case there isn't.

The way i am trying right now, isnt exactly optimal and will take me a long time to do this process:

I'm writing an OpenCL kernel which will involve solving a linear system. Currently my kernel is simply too slow, and improving the performance of the linear system portion seemed like a good place to start.

I should also note that I'm not trying make my linear solver parallel, the problem I'm working on is already embarassingly parallel at a macroscopic level.

The following is C code I wrote for solving Ax=b using Gaussian elimination with partial pivoting,

I'm relatively new to Polysemy, and I'm trying to wrap my head around how to use NonDet correctly. Specifically, let's say I've got this computation