2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
OpenMP aware MHP Analysis for Improved Static Data-Race Detection
Utpal Bora, Shraiysh Vaishay, Saurabh Joshi +1
Data races, a major source of bugs in concurrent programs, can result in loss of manpower and time as well as data loss due to system failures. OpenMP, the de facto shared memory p…
AI Powered Compiler Techniques for DL Code Optimization
Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha +2
Creating high performance implementations of deep learning primitives on CPUs is a challenging task. Multiple considerations including multi-level cache hierarchy, and wide SIMD un…
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives
Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha +3
At the heart of deep learning training and inferencing are computationally intensive primitives such as convolutions which form the building blocks of deep neural networks. Researc…
LLOV: A Fast Static Data-Race Checker for OpenMP Programs
Utpal Bora, Santanu Das, Pankaj Kukreja +3
In the era of Exascale computing, writing efficient parallel programs is indispensable and at the same time, writing sound parallel programs is very difficult. Specifying paralleli…
IR2Vec: LLVM IR based Scalable Program Embeddings
S. VenkataKeerthy, Rohit Aggarwal, Shalini Jain +3
We propose IR2Vec, a Concise and Scalable encoding infrastructure to represent programs as a distributed embedding in continuous space. This distributed embedding is obtained by co…