Eriko Nurvitadhi

发表

Optimizing Reconfigurable Recurrent Neural Networks

Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, 2020, 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Integrating formal verification and high-level processor pipeline synthesis

James C. Hoe, Eriko Nurvitadhi, Shih-Lien Lu, 2011, 2011 IEEE 9th Symposium on Application Specific Processors (SASP).

FPGA-based Low-Batch Training Accelerator for Modern CNNs Featuring High Bandwidth Memory

Eriko Nurvitadhi, Shihui Yin, Shreyas K. Venkataramanaiah, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Specializing FGPU for Persistent Deep Learning

Rui Ma, Martin Langhammer, Eriko Nurvitadhi, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

Design, implementation, and verification of active cache emulator (ACE)

Eriko Nurvitadhi, Shih-Lien Lu, Jumnit Hong, 2006, FPGA '06.

PROToFLEX: FPGA-accelerated Hybrid Functional Simulator

Babak Falsafi, James C. Hoe, Eriko Nurvitadhi, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Characterization of L3 cache behavior of SPECjAppServer2002 and TPC-C

Eriko Nurvitadhi, Shih-Lien Lu, Nirut Chalainanont, 2005, ICS '05.

Neural network scheduling mechanism

Eriko Nurvitadhi, Jeremy Bottleson, Jingyi Jin, 2017 .

Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC

Eriko Nurvitadhi, Asit K. Mishra, David Sheffield, 2016, 2016 26th International Conference on Field Programmable Logic and Applications (FPL).

Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs

Gregory K. Chen, Ram Krishnamurthy, Aravind Dasu, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Hardware-efficient stereo estimation using a residual-based approach

Eriko Nurvitadhi, Diana Marculescu, Abhishek A. Sharma, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fine-grained accelerators for sparse machine learning workloads

Eriko Nurvitadhi, Asit K. Mishra, Jonathan Pearce, 2017, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

Processor Assisted Worklist Scheduling for FPGA Accelerated Graph Processing on a Shared-Memory Platform

James C. Hoe, Yu Wang, Eriko Nurvitadhi, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study

Eriko Nurvitadhi, Philip Heng Wai Leong, Asit K. Mishra, 2018, FPGA.

3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming

Yaser Sheikh, James C. Hoe, Mei Chen, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

MEMOCODE 2013 hardware/software co-design contest: Stereo matching

Eriko Nurvitadhi, 2013, 2013 Eleventh ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE 2013).

Adaptive semi-soft handoff for Cellular IP networks

Myungchul Kim, Eriko Nurvitadhi, Ben Lee, 2007, Int. J. Wirel. Mob. Comput..

Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI

Gregory K. Chen, Ram Krishnamurthy, Aravind Dasu, 2019, FPGA.

A complexity-effective architecture for accelerating full-system multiprocessor simulations using FPGAs

Babak Falsafi, James C. Hoe, Eriko Nurvitadhi, 2008, FPGA '08.

SLATE: Managing Heterogeneous Cloud Functions

Eriko Nurvitadhi, Wayne Luk, Jessica Vandebon, 2020, 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Accelerating Deep Convolutional Networks using low-precision and sparsity

Eriko Nurvitadhi, Ganesh Venkatesh, Debbie Marr, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

High performance binary neural networks on the Xeon+FPGA™ platform

Eriko Nurvitadhi, Philip Heng Wai Leong, Asit K. Mishra, 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).

Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs

Martin Margala, Eriko Nurvitadhi, Asit K. Mishra, 2018, 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

WRPN: Wide Reduced-Precision Networks pdf

Eriko Nurvitadhi, Asit K. Mishra, Jeffrey J. Cook, 2017, ICLR.

Automatic pipelining from transactional datapath specifications

James C. Hoe, Eriko Nurvitadhi, Timothy Kam, 2010, DATE 2010.

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?

Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, 2017, FPGA.

Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs

Martin Margala, Eriko Nurvitadhi, Asit K. Mishra, 2018, FCCM.

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

James C. Hoe, Yu Wang, Eriko Nurvitadhi, 2014, FCCM 2014.

Dynamic voltage scaling techniques for power efficient video decoding

Myungchul Kim, Eriko Nurvitadhi, Ben Lee, 2005, J. Syst. Archit..

Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs

Eriko Nurvitadhi, Dongup Kwon, Abirami Prabhakaran, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

A sparse matrix vector multiply accelerator for support vector machine

Eriko Nurvitadhi, Asit K. Mishra, Debbie Marr, 2015, 2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES).

ProtoFlex: Towards Scalable, Full-System Multiprocessor Simulations Using FPGAs

Babak Falsafi, James C. Hoe, Eriko Nurvitadhi, 2009, TRETS.

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC

Aravind Dasu, Eriko Nurvitadhi, Asit K. Mishra, 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).

Active Cache Emulator

Eriko Nurvitadhi, Shih-Lien Lu, Jumnit Hong, 2008, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Artisan: a Meta-Programming Approach For Codifying Optimisation Strategies

Eriko Nurvitadhi, Wayne Luk, Tim Todman, 2020, 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Automatic multithreaded pipeline synthesis from transactional datapath specifications

James C. Hoe, Eriko Nurvitadhi, Shih-Lien Lu, 2010, Design Automation Conference.

Customizable FPGA OpenCL matrix multiply design template for deep neural networks

Eriko Nurvitadhi, Andrew C. Ling, Duncan J. M. Moss, 2017, 2017 International Conference on Field Programmable Technology (ICFPT).

Automatic Pipelining From Transactional Datapath Specifications

James C. Hoe, Eriko Nurvitadhi, Shih-Lien Lu, 2010, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels

Eriko Nurvitadhi, Dongup Kwon, Jangwoo Kim, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Enhanced Heterogeneous Cloud: Transparent Acceleration and Elasticity

Eriko Nurvitadhi, Wayne Luk, Jessica Vandebon, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

Hardware accelerator for analytics of sparse data

Eriko Nurvitadhi, Yu Wang, Asit K. Mishra, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Fast hierarchical implementation of sequential tree-reweighted belief propagation for probabilistic inference

Rob A. Rutenbar, Eriko Nurvitadhi, José F. Martínez, 2015, 2015 25th International Conference on Field Programmable Logic and Applications (FPL).

Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC

Eriko Nurvitadhi, Asit K. Mishra, Ganesh Venkatesh, 2016, 2016 International Conference on Field-Programmable Technology (FPT).

Programmable Automotive Headlights

Anthony Rowe, Takeo Kanade, Mei Chen, 2014, ECCV.

3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming

Yaser Sheikh, James C. Hoe, Mei Chen, 2013, CVPR Workshops.

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC

Aravind Dasu, Eriko Nurvitadhi, Asit K. Mishra, 2018, FPL.

WRPN: Training and Inference using Wide Reduced-Precision Networks pdf

Eriko Nurvitadhi, Asit K. Mishra, Jeffrey J. Cook, 2017, ArXiv.

A Study of Pointer-Chasing Performance on Shared-Memory Processor-FPGA Systems

James C. Hoe, Eriko Nurvitadhi, Gabriel Weisz, 2016, FPGA.

Automatic Compiler Based FPGA Accelerator for CNN Training

Eriko Nurvitadhi, Jae-sun Seo, Yu Cao, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

FPGA-based Computing in the Era of AI and Big Data

Eriko Nurvitadhi, 2019, ISPD.

TRUSS: a reliable, scalable server architecture

Babak Falsafi, James C. Hoe, Eriko Nurvitadhi, 2005, IEEE Micro.

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

James C. Hoe, Eriko Nurvitadhi, Gabriel Weisz, 2014, 2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines.

Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks

Eriko Nurvitadhi, Derek Chiou, David Shih, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

A Comparative Study of Dynamic Voltage Scaling Techniques for Low-Power Video Decoding

Myungchul Kim, Eriko Nurvitadhi, Ben Lee, 2003, Embedded Systems and Applications.

Enhancing High-Level Synthesis Using a Meta-Programming Approach

Wayne Luk, Eriko Nurvitadhi, Jessica Vandebon, 2021, IEEE Transactions on Computers.

Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs

Reetuparna Das, Eriko Nurvitadhi, Valeria Bertacco, 2021, 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Stratix 10 NX Architecture and Applications

Martin Langhammer, Bogdan Pasca, Eriko Nurvitadhi, 2021, FPGA.

End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression

Eriko Nurvitadhi, Vaughn Betz, Jae-sun Seo, 2021, 2021 31st International Conference on Field-Programmable Logic and Applications (FPL).

Cache Compression with Efficient in-SRAM Data Comparison

Reetuparna Das, Eriko Nurvitadhi, Li Zhao, 2021, 2021 IEEE International Conference on Networking, Architecture and Storage (NAS).

Specializing FGPU for Persistent Deep Learning

Aravind Dasu, Martin Langhammer, Eriko Nurvitadhi, 2021, ACM Trans. Reconfigurable Technol. Syst..

FlexScore: Quantifying Flexibility

Aravind Dasu, Martin Langhammer, Eriko Nurvitadhi, 2021, IEEE Computer Architecture Letters.

DO-GPU: Domain Optimizable Soft GPUs

Aravind Dasu, Martin Langhammer, Eriko Nurvitadhi, 2021, 2021 31st International Conference on Field-Programmable Logic and Applications (FPL).

Virtualized Full-System Emulation of Multiprocessors using FPGAs

Babak Falsafi, James C. Hoe, Eriko Nurvitadhi, 2007 .

Full-System Architectural Exploration Sandbox

James C. Hoe, Eriko Nurvitadhi, 2005 .