Eriko Nurvitadhi

Bellevue College — United States

Computer Science · Physical Sciences

26h-index2.8kcitations88works0.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(42), Advanced Neural Network Applications(31), Embedded Systems Design Techniques(17), Advanced Memory and Neural Computing(13), Interconnection Networks and Systems(12)

Publications88 total

MangoBoost Alice: Extremely Fast, Seamless, and Versatile FPGA-Accelerated DPU Solutions
IEEE Micro·2025
FAST: An Efficient Scheduler for All-to-All GPU Communication
ArXiv.org·2025Open Access
High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design
ACM Transactions on Reconfigurable Technology and Systems·2023· 11 cited
RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices
arXiv (Cornell University)·2023· 1 citedOpen Access
Analysis of Power Delivery Network (PDN) in Bridge-Chips for 2.5-D Heterogeneous Integration
IEEE Transactions on Components Packaging and Manufacturing Technology·2022· 5 cited
A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks
ACM Transactions on Architecture and Code Optimization·2022· 28 citedOpen Access
Exploiting the Common Case When Accelerating Input-Dependent Stream Processing by FPGA
IEEE Transactions on Computers·2022· 1 cited
RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices
2022· 6 cited
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems
IEEE Computer Architecture Letters·2022· 18 cited
HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming
2022· 8 cited
Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks
ACM Transactions on Reconfigurable Technology and Systems·2022· 5 cited
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
arXiv (Cornell University)·2022Open Access
Stratix 10 NX Architecture
ACM Transactions on Reconfigurable Technology and Systems·2022· 8 cited
Architecture and Application Co-Design for Beyond-FPGA Reconfigurable Acceleration Devices
IEEE Access·2022· 10 citedOpen Access
Recurrent Neural Networks With Column-Wise Matrix–Vector Multiplication on FPGAs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems·2021· 20 cited
Specializing for Efficiency: Customizing AI Inference Processors on FPGAs
2021· 11 cited
Cache Compression with Efficient in-SRAM Data Comparison
2021· 2 cited
DO-GPU: Domain Optimizable Soft GPUs
2021· 8 cited
End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression
2021· 16 cited
Specializing FGPU for Persistent Deep Learning
ACM Transactions on Reconfigurable Technology and Systems·2021· 4 citedOpen Access
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Frequent Co-authors

Debbie Marr(16), Asit Mishra(14), Andrew Boutros(11), James C. Hoe(10), Jaewoong Sim(7), Ganesh Venkatesh(6), Vaughn Betz(5), Aravind Dasu(5), Philip Colangelo(5), Kevin Nealis(5), Srivatsan Krishnan(4), Duncan J. M. Moss(4), Suchit Subhaschandra(4), David Sheffield(4), Jeffrey Cook(4), Eric S. Chung(4), Babak Falsafi(4), Yu Wang(4), Sergey Gribok(4), Martin Langhammer(4)