---
title: "ISCA 2016 — accepted papers — Elamur Research"
description: "ISCA 2016 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2016/"
---
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# ISCA 2016 — accepted papers

ISCA 2016 is the 2016 edition of the ACM/IEEE International Symposium on Computer Architecture (ISCA). OpenAlex lists 64 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**64** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2016/#works) · [**1,193** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2016/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[EIE: Efficient Inference Engine on Compressed Deep Neural Network](https://md.research.elamur.ai/free/en/papers/han-2016-eie-efficient-inference-engine-compressed/)**Song Han, Xingyu Liu, Huizi Mao et al.*1,048 citations · our summary*
2. **[ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars ↗](https://doi.org/10.1109/isca.2016.12)**Ali Reza Shafiee, Anirban Nag, Naveen Muralimanohar et al.*742 citations*
3. **[PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory ↗](https://doi.org/10.1109/isca.2016.13)**Ping Chi, Shuangchen Li, Cong Xu et al.*573 citations*
4. **[Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks ↗](https://doi.org/10.1109/isca.2016.40)**Yu‐Hsin Chen, Joel Emer, Vivienne Sze*534 citations*
5. **[Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators ↗](https://doi.org/10.1109/isca.2016.32)**Brandon Reagen, Paul N. Whatmough, Robert Adolf et al.*246 citations*
6. **[Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing ↗](https://doi.org/10.1109/isca.2016.11)**Jorge Albericio, Patrick Judd, Tayler Hetherington et al.*226 citations*
7. **[Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory ↗](https://doi.org/10.1109/isca.2016.41)**Duck-Hwan Kim, Jaeha Kung, Sek Meng Chai et al.*171 citations*
8. **[Cambricon: An Instruction Set Architecture for Neural Networks ↗](https://doi.org/10.1109/isca.2016.42)**Shaoli Liu, Zidong Du, Jinhua Tao et al.*121 citations*
9. **[Energy Efficient Architecture for Graph Analytics Accelerators ↗](https://doi.org/10.1109/isca.2016.24)**Muhammet Mustafa Özdal, Şerif Yeşil, Taemin Kim et al.*111 citations*
10. **[Back to the Future: Leveraging Belady's Algorithm for Improved Cache Replacement ↗](https://doi.org/10.1109/isca.2016.17)**Akanksha Jain, Calvin Lin*106 citations*

## All accepted papers (64)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[EIE: Efficient Inference Engine on Compressed Deep Neural Network](https://md.research.elamur.ai/free/en/papers/han-2016-eie-efficient-inference-engine-compressed/)**Song Han, Xingyu Liu, Huizi Mao et al.*1,048 citations · our summary*
2. **[ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars ↗](https://doi.org/10.1109/isca.2016.12)**Ali Reza Shafiee, Anirban Nag, Naveen Muralimanohar et al.*742 citations*
3. **[PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory ↗](https://doi.org/10.1109/isca.2016.13)**Ping Chi, Shuangchen Li, Cong Xu et al.*573 citations*
4. **[Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks ↗](https://doi.org/10.1109/isca.2016.40)**Yu‐Hsin Chen, Joel Emer, Vivienne Sze*534 citations*
5. **[Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators ↗](https://doi.org/10.1109/isca.2016.32)**Brandon Reagen, Paul N. Whatmough, Robert Adolf et al.*246 citations*
6. **[Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing ↗](https://doi.org/10.1109/isca.2016.11)**Jorge Albericio, Patrick Judd, Tayler Hetherington et al.*226 citations*
7. **[Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory ↗](https://doi.org/10.1109/isca.2016.41)**Duck-Hwan Kim, Jaeha Kung, Sek Meng Chai et al.*171 citations*
8. **[Cambricon: An Instruction Set Architecture for Neural Networks ↗](https://doi.org/10.1109/isca.2016.42)**Shaoli Liu, Zidong Du, Jinhua Tao et al.*121 citations*
9. **[Energy Efficient Architecture for Graph Analytics Accelerators ↗](https://doi.org/10.1109/isca.2016.24)**Muhammet Mustafa Özdal, Şerif Yeşil, Taemin Kim et al.*111 citations*
10. **[Back to the Future: Leveraging Belady's Algorithm for Improved Cache Replacement ↗](https://doi.org/10.1109/isca.2016.17)**Akanksha Jain, Calvin Lin*106 citations*
11. **[Biscuit: A Framework for Near-Data Processing of Big Data Workloads ↗](https://doi.org/10.1109/isca.2016.23)**Boncheol Gu, Andre Sungho Yoon, Duck‐Ho Bae et al.*103 citations*
12. **[Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures ↗](https://doi.org/10.1109/isca.2016.37)**Jungrae Kim, Michael B. Sullivan, Esha Choukse et al.*77 citations*
13. **[Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems ↗](https://doi.org/10.1109/isca.2016.27)**Kevin Hsieh, Eiman Ebrahim, Gwangsun Kim et al.*77 citations*
14. **[Accelerating Dependent Cache Misses with an Enhanced Memory Controller ↗](https://doi.org/10.1109/isca.2016.46)**Milad Hashemi, Khubaib Khubaib, Eiman Ebrahimi et al.*70 citations*
15. **[ASIC Clouds: Specializing the Datacenter ↗](https://doi.org/10.1109/isca.2016.25)**Ikuo Magaki, Moein Khazraee, Luis Vega et al.*69 citations*
16. **[Automatic Generation of Efficient Accelerators for Reconfigurable Hardware ↗](https://doi.org/10.1109/isca.2016.20)**David Koeplinger, Raghu Prabhakar, Yaqi Zhang et al.*69 citations*
17. **[RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision ↗](https://doi.org/10.1109/isca.2016.31)**Robert LiKamWa, Yunhui Hou, Yuan Gao et al.*61 citations*
18. **[Dynamo: Facebook's Data Center-Wide Power Management System ↗](https://doi.org/10.1109/isca.2016.48)**Qiang Wu, Qingyuan Deng, Lakshmi Ganesh et al.*60 citations*
19. **[Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming ↗](https://doi.org/10.1109/isca.2016.29)**Qiumin Xu, Hyeran Jeon, Keun‐Soo Kim et al.*54 citations*
20. **[Agile Paging: Exceeding the Best of Nested and Shadow Paging ↗](https://doi.org/10.1109/isca.2016.67)**Jayneel Gandhi, Mark D. Hill, Michael M. Swift*43 citations*
21. **[Using Multiple Input, Multiple Output Formal Control to Maximize Resource Efficiency in Architectures ↗](https://doi.org/10.1109/isca.2016.63)**Raghavendra Pradyumna Pothukuchi, Amin Ansari, Petros G. Voulgaris et al.*41 citations*
22. **[Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference ↗](https://doi.org/10.1109/isca.2016.47)**Yunqi Zhang, David Meisner, Jason Mars et al.*40 citations*
23. **[ARM Virtualization: Performance and Architectural Implications ↗](https://doi.org/10.1109/isca.2016.35)**Christoffer Dall, Shih-Wei Li, Jin T. E. Lim et al.*36 citations*
24. **[Exploiting Dynamic Timing Slack for Energy Efficiency in Ultra-Low-Power Embedded Systems ↗](https://doi.org/10.1109/isca.2016.64)**Hari Cherupalli, Rakesh Kumar, John Sartori*36 citations*
25. **[Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit ↗](https://doi.org/10.1109/isca.2016.59)**Myung Kuk Yoon, Keun‐Soo Kim, Sangpil Lee et al.*36 citations*

[See all 64 papers in ISCA 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2016/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[EIE: Efficient Inference Engine on Compressed Deep Neural Network](https://md.research.elamur.ai/free/en/papers/han-2016-eie-efficient-inference-engine-compressed/) [ACM/IEEE International Symposium on Computer Architecture (ISCA)](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/)**Song Han, Xingyu Liu, Huizi Mao, et al.*2016 · 1,193 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Huizi Mao**1 work here · 1,193 citations](https://md.research.elamur.ai/free/en/authors/huizi-mao/) · [🧑‍🔬**Song Han**1 work here · 1,193 citations](https://md.research.elamur.ai/free/en/authors/song-han/) · [🧑‍🔬**Xingyu Liu**1 work here · 1,193 citations](https://md.research.elamur.ai/free/en/authors/xingyu-liu/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Nvidia (United Kingdom)** Reading · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🏢**Nvidia** Santa Clara · United States 1 work here](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

works and citations from OpenAlex and our library.

- [next → ISCA 2020](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2020/)
- [↑ back to ISCA](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/)