Metadata-Version: 2.1
Name: pycompute
Version: 1.0
Summary: A computation graph library with support for parallelism , numerical and string computations.
Home-page: https://github.com/Narasimha1997/bzCompute
Author: Narasimha Prasanna HN
Author-email: narasimhaprasannahn@gmail.com
License: UNKNOWN
Description: # bzCompute
        
        bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.
        
        ### Examples :
        The educational project supports limited number of text-processing and mathematical operations that are normally used frequently.
        **Look at examples folder for various examples**
        
        ### Parallel Computation : 
        The librabry supports both sequential and parallel computation on graphs. Domain Decomposition is the computation technique used to provide task-level parallelism by creating replicas of computation graphs . The library creates a Master-worker setup, where the MasterSession creates specified number of worker sessions, each worker-session is a thread. These threads can be pre-forked to memory or can be created on demand. Each worker is automatically assigned a name. The results are collected. Domain decomposition is manily used for running multiple replicas of data-flow graphs on different inputs, check out *examples*.
        
        ### Supported Sessions : 
        The library supports three types of sessions as of now : 
        
          * **SequentialSession** : SequentialSession executes computation graph in a sequential order, leaving parallelism to OS and Hardware.
          *  **MasterSession** : Creates a master session for parallel computation, can be used for domain-decomposition, by specifying number of worker threads.
          *  **StringSession** : It is a variant of SequentialSession for executing a computation graph composed of strign operations. 
         
        ### Supported Operations : 
        bzCompute supports many operations as of now, the library also provides support for defining custom operations as per the requirements.
        
        ##### Numerical Operations :
        Look at *pyCompute/KernelOperations.py* to obtain list of all supported operations
        
        #### Text-Processing Operations : 
        Look at *pyCompute/text_processing/StringOperations.py* for all supported string operations.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
