120 citations · 162 across the 10 of their papers we have counts for
4 papers · 1 filter
High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results
Navdeep Katel, Vivek Khandelwal, Uday Bondhugula
This report presents some early results on code generation targeting tensor cores on NVIDIA GPUs using the MLIR compiler infrastructure. The state-of-the-art in high-performance de…
A flexible FPGA accelerator for convolutional neural networks
Kingshuk Majumder, Shubham Nema, Uday Bondhugula
Though CNNs are highly parallel workloads, in the absence of efficient on-chip memory reuse techniques, an accelerator for them quickly becomes memory bound. In this paper, we prop…
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems
Karan Aggarwal, Uday Bondhugula
Sparse matrix-vector multiplication (SpMV) operations are commonly used in various scientific applications. The performance of the SpMV operation often depends on exploiting regula…
An Approach for Finding Permutations Quickly: Fusion and Dimension matching
Aravind Acharya, Uday Bondhugula, Albert Cohen
Polyhedral compilers can perform complex loop optimizations that improve parallelism and cache behaviour of loops in the input program. These transformations result in significant…