Abstract: Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, ...

Abstract: Dynamic languages provide the flexibility needed to implement expressive support for task-based parallel programming constructs. We present Pygion, a Python interface for the Legion ...

Building async applications often means dealing with background tasks. Existing solutions like Celery require separate worker processes and complex configuration. Kew takes a different approach: Redis ...

Data scientist. Started a blog to combine my passions for data science and statistics with writing. Data scientist. Started a blog to combine my passions for data science and statistics with writing.

Ever wonder why your computer is slow? Or how much of your CPU, memory, and bandwidth a particular program is using? Task Manager is how you can find out, and also how you can close applications that ...

Execute SQL tasks run stored procedures or SQL queries from SSIS packages. A task executes any SQL statements that have been passed to it in sequential order. It provides you with a handy way to store ...

WorQ is a Python task queue that uses a worker pool to execute tasks in parallel. Workers can run in a single process, multiple processes on a single machine, or many processes on many machines. It ...

So when we used the scripting task we could surely use any .NET language. Wrong! In SSIS 2005 Scripting tasks had to use VB.NET. No ifs or buts. This was restrictive especially if the rest of your ...