Shared memory is a parallel programming model where multiple threads or processes access the same memory space and communicate through shared variables or data structures. This model is suitable ...

Distributed computing can also enhance the availability and fault tolerance of a system by replicating the data ... model that aligns with your application. Parallel computing often uses shared ...

Abstract: Presents a theoretical framework for automatically partitioning parallel loops to ... compute precisely the size of data footprints. We have implemented this framework in a compiler for ...

Abstract: Myriad of machine learning (ML) algorithms refine model parameters iteratively. Existing synchronous data-parallel frameworks can accelerate ... Besides the basic goal of keeping all workers ...

For example, typical data parallel training needs to maintain redundant copies of the model on each GPU, whereas parallel model training needs additional communication costs to move activations ...