Uday Bondhugula

Sami Labs (India) — India

Computer Science · Physical Sciences

29h-index4.3kcitations76works1.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(63), Advanced Data Storage Technologies(26), Distributed and Parallel Computing Systems(19), Advanced Neural Network Applications(14), Embedded Systems Design Techniques(14)

Publications76 total

SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
2024· 1 citedOpen Access
Automatic multi-dimensional pipelining for high-level synthesis of dataflow accelerators
arXiv (Cornell University)·2023Open Access
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description
2023· 8 citedOpen Access
Treebeard: An Optimizing Compiler for Decision Tree Based ML Inference
2022· 5 cited
MLIR-based code generation for GPU tensor cores
2022· 18 cited
High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results
arXiv (Cornell University)·2021· 6 citedOpen Access
A practical tile size selection model for affine loop nests
2021· 6 cited
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description
arXiv (Cornell University)·2021· 3 citedOpen Access
MLIR: Scaling Compiler Infrastructure for Domain Specific Computation
2021· 460 cited
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems
ACM Transactions on Parallel Computing·2020· 1 citedOpen Access
Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs
ACM Transactions on Architecture and Code Optimization·2020· 14 citedOpen Access
An Effective Fusion and Tile Size Model for PolyMage
ACM Transactions on Programming Languages and Systems·2020· 1 citedOpen Access
High Performance Code Generation in MLIR: An Early Case Study with GEMM
arXiv (Cornell University)·2020· 27 citedOpen Access
MLIR: A Compiler Infrastructure for the End of Moore's Law
arXiv (Cornell University)·2020· 120 citedOpen Access
Bitwidth customization in image processing pipelines using interval analysis and SMT solvers
2020· 4 cited
A flexible FPGA accelerator for convolutional neural networks
arXiv (Cornell University)·2019· 4 citedOpen Access
Optimizing the linear fascicle evaluation algorithm for many-core systems
2019· 4 cited
Optimizing the linear fascicle evaluation algorithm for many-core systems
Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)·2019· 1 cited
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and\n Many-Core Systems
arXiv (Cornell University)·2019Open Access
Polyhedral auto-transformation with no integer linear programming
ACM SIGPLAN Notices·2018· 5 cited
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Frequent Co-authors

P. Sadayappan(19), J. Ramanujam(16), Albert Cohen(10), Atanas Rountev(9), Muthu Manikandan Baskaran(8), Sriram Krishnamoorthy(7), Nicolas Vasilache(5), Ravi Teja Mullapudi(5), Vinay Vasista(5), Aravind Acharya(5), Albert Hartono(3), Louis-Noël Pouchet(3), Cédric Bastoul(3), Vinayaka Bandishti(3), Irshad Pananilath(3), Chris Lattner(2), Mehdi Amini(2), Andy Davis(2), Jacques A. Pienaar(2), River Riddle(2)