Siddhartha

According to our database, Siddhartha authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Demo: Enabling DNN Inference in the Network Data Plane.

Siddhartha, Justin Tan, Rajesh Bansal, Huang Chee Cheun, Yuta Tokusashi, Chong Yew Kwan, Haris Javaid, Mario Baldi

Proceedings of the 6th on European P4 Workshop, 2023

2020

Range-Doppler Detection in Automotive Radar with Deep Learning.

Weichong Ng, Guohua Wang, Siddhartha, Zhiping Lin, Bhaskar Jyoti Dutta

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Dataflow optimized overlays for FPGAs

Siddhartha

PhD thesis, 2019

2018

CaffePresso: Accelerating Convolutional Networks on Embedded SoCs.

Gopalakrishna Hegde, Siddhartha, Nachiket Kapre

ACM Trans. Embed. Comput. Syst., 2018

DaCO: A High-Performance Token Dataflow Coprocessor Overlay for FPGAs.

Siddhartha, Nachiket Kapre

Proceedings of the International Conference on Field-Programmable Technology, 2018

Hoplite-Q: Priority-Aware Routing in FPGA Overlay NoCs.

Siddhartha, Nachiket Kapre

Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2017

Out-of-Order Dataflow Scheduling for FPGA Overlays.

Siddhartha, Nachiket Kapre

CoRR, 2017

eBSP: Managing NoC traffic for BSP workloads on the 16-core Adapteva Epiphany-III processor.

Siddhartha, Nachiket Kapre

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

Vector FPGA acceleration of 1-D DWT computations using sparse matrix skeletons.

Sidharth Maheshwari, Gourav Modi, Siddhartha, Nachiket Kapre

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

Communication Optimization for the 16-Core Epiphany Floating-Point Processor Array.

Nachiket Kapre, Siddhartha

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

Evaluating Embedded FPGA Accelerators for Deep Learning Applications.

Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Vamsi Buddha, Nachiket Kapre

Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

CaffePresso: an optimized library for deep learning on embedded accelerator-based platforms.

Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Nachiket Kapre

Proceedings of the 2016 International Conference on Compilers, 2016

2015

GraphMMU: Memory Management Unit for Sparse Graph Accelerators.

Nachiket Kapre, Han Jianglei, Andrew Bean, Pradeep Moorthy, Siddhartha

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

FPGA Acceleration of Irregular Iterative Computations using Criticality-Aware Dataflow Optimizations (Abstract Only).

Siddhartha, Nachiket Kapre

Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

2014

Fanout decomposition dataflow optimizations for FPGA-based Sparse LU factorization.

Siddhartha, Nachiket Kapre

Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

Heterogeneous dataflow architectures for FPGA-based sparse LU factorization.

Siddhartha, Nachiket Kapre

Proceedings of the 24th International Conference on Field Programmable Logic and Applications, 2014

Breaking Sequential Dependencies in FPGA-Based Sparse LU Factorization.

Siddhartha, Nachiket Kapre

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014