Title/Authors | Title | Research Artifacts
[?] A research
artifact is any by-product of a research project that is not
directly included in the published research paper. In Computer
Science research this is often source code and data sets, but
it could also be media, documentation, inputs to proof
assistants, shell-scripts to run experiments, etc.
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All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez |
All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory Details |
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Biscuit: A Framework for Near-Data Processing of Big Data Workloads Boncheol Gu, Andre S. Yoon, Duck-Ho Bae, Insoon Jo, Jinyoung Lee, Jonghyun Yoon, Jeong-Uk Kang, Moonsang Kwon, Chanho Yoon, Sangyeun Cho, Jaeheon Jeong, Duckhyun Chang |
Biscuit: A Framework for Near-Data Processing of Big Data Workloads Details |
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Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David M. Brooks |
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators Details |
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Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching Thomas Peyrin, Yu Sasaki, David Cunningham |
Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching Details |
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Efficiently Scaling Out-of-Order Cores for Simultaneous Multithreading Faissal M. Sleiman, Thomas F. Wenisch |
Efficiently Scaling Out-of-Order Cores for Simultaneous Multithreading Details |
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XED: Exposing On-Die Error Detection Information for Strong Memory Reliability Prashant J. Nair, Vilas Sridharan, Moinuddin K. Qureshi |
XED: Exposing On-Die Error Detection Information for Strong Memory Reliability Details |
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LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches Hsiang-Yun Cheng, Jishen Zhao, Jack Sampson, Mary Jane Irwin, Aamer Jaleel, Yu Lu, Yuan Xie |
LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches Details |
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Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, Murali Annavaram |
Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit Details |
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Agile Paging: Exceeding the Best of Nested and Shadow Paging Jayneel Gandhi, Mark D. Hill, Michael M. Swift |
Agile Paging: Exceeding the Best of Nested and Shadow Paging Details |
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Base-Victim Compression: An Opportunistic Cache Compression Architecture Jayesh Gaur, Alaa R. Alameldeen, Sreenivas Subramoney |
Base-Victim Compression: An Opportunistic Cache Compression Architecture Details |
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Rescuing Uncorrectable Fault Patterns in On-Chip Memories through Error Pattern Transformation Henry Duwe, Xun Jian, Daniel Petrisko, Rakesh Kumar |
Rescuing Uncorrectable Fault Patterns in On-Chip Memories through Error Pattern Transformation Details |
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ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar |
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars Details |
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Decoupling Loads for Nano-Instruction Set Computers Ziqiang Huang, Andrew D. Hilton, Benjamin C. Lee |
Decoupling Loads for Nano-Instruction Set Computers Details |
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EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally |
EIE: Efficient Inference Engine on Compressed Deep Neural Network Details |
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MITTS: Memory Inter-arrival Time Traffic Shaping Yanqi Zhou, David Wentzlaff |
MITTS: Memory Inter-arrival Time Traffic Shaping Details |
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ActivePointers: A Case for Software Address Translation on GPUs Sagi Shahar, Shai Bergman, Mark Silberstein |
ActivePointers: A Case for Software Address Translation on GPUs Details |
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Opportunistic Competition Overhead Reduction for Expediting Critical Section in NoC Based CMPs Yuan Yao, Zhonghai Lu |
Opportunistic Competition Overhead Reduction for Expediting Critical Section in NoC Based CMPs Details |
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Production-Run Software Failure Diagnosis via Adaptive Communication Tracking Mohammad Mejbah Ul Alam, Abdullah Muzahid |
Production-Run Software Failure Diagnosis via Adaptive Communication Tracking Details |
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Joshua San Miguel, Natalie D. Enright Jerger |
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Boosting Access Parallelism to PCM-Based Main Memory Mohammad Arjomand, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das |
Boosting Access Parallelism to PCM-Based Main Memory Details |
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Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing Hung-Wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan, Steven Swanson |
Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing Details |
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PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars |
PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures Details |
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Cambricon: An Instruction Set Architecture for Neural Networks Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, Tianshi Chen |
Cambricon: An Instruction Set Architecture for Neural Networks Details |
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Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh |
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration Details |
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LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs Jin Wang, Norm Rubin, Albert Sidelnik, Sudhakar Yalamanchili |
LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs Details |
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Raghavendra Pradyumna Pothukuchi, Amin Ansari, Petros G. Voulgaris, Josep Torrellas |
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The paper describes the insights behind a new methodology and the technical report at http://iacoma.cs.uiuc.edu/iacoma-papers/mimoTR.pdf describes the detailed steps using MATLAB.
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Asymmetry-Aware Work-Stealing Runtimes Christopher Torng, Moyang Wang, Christopher Batten |
Asymmetry-Aware Work-Stealing Runtimes Details |
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DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis |
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric Details |
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Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang |
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Ping Chi, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu, Yu Wang, Yuan Xie |
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Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler |
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Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching Chang Hyun Park, Taekyung Heo, Jaehyuk Huh |
Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching Details |
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APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram |
APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs Details |
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Exploiting Dynamic Timing Slack for Energy Efficiency in Ultra-Low-Power Embedded Systems Hari Cherupalli, Rakesh Kumar, John Sartori |
Exploiting Dynamic Timing Slack for Energy Efficiency in Ultra-Low-Power Embedded Systems Details |
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Energy Efficient Architecture for Graph Analytics Accelerators Muhammet Mustafa Ozdal, Serif Yesil, Taemin Kim, Andrey Ayupov, John Greth, Steven M. Burns, Özcan Özturk |
Energy Efficient Architecture for Graph Analytics Accelerators Details |
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Energy Efficient Data Encoding in DRAM Channels Exploiting Data Value Similarity Hoseok Seol, Wongyu Shin, Jaemin Jang, Jungwhan Choi, Jinwoong Suh, Lee-Sup Kim |
Energy Efficient Data Encoding in DRAM Channels Exploiting Data Value Similarity Details |
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Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors Channoh Kim, Sungmin Kim, Hyeon-Gyu Cho, Doo-Young Kim, Jaehyeok Kim, Young H. Oh, Hakbeom Jang, Jae W. Lee |
Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors Details |
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Back to the Future: Leveraging Belady's Algorithm for Improved Cache Replacement Akanksha Jain, Calvin Lin |
Back to the Future: Leveraging Belady's Algorithm for Improved Cache Replacement Details |
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ASIC Clouds: Specializing the Datacenter Ikuo Magaki, Moein Khazraee, Luis Vega Gutierrez, Michael Bedford Taylor |
ASIC Clouds: Specializing the Datacenter Details |
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CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture Yanqi Zhou, Henry Hoffmann, David Wentzlaff |
CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture Details |
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Peak Efficiency Aware Scheduling for Highly Energy Proportional Servers Daniel Wong |
Peak Efficiency Aware Scheduling for Highly Energy Proportional Servers Details |
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Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing Details |
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Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures Jungrae Kim, Michael B. Sullivan, Esha Choukse, Mattan Erez |
Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures Details |
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Dynamo: Facebook's Data Center-Wide Power Management System Qiang Wu, Qingyuan Deng, Lakshmi Ganesh, Chang-Hong Hsu, Yun Jin, Sanjeev Kumar, Bin Li, Justin Meza, Yee Jiun Song |
Dynamo: Facebook's Data Center-Wide Power Management System Details |
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Qiumin Xu, Hyeran Jeon, Keunsoo Kim, Won Woo Ro, Murali Annavaram |
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RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision Robert LiKamWa, Yunhui Hou, Yuan Gao, Mia Polansky, Lin Zhong |
RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision Details |
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Dong-Wan Kim, Mattan Erez |
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Future Vector Microprocessor Extensions for Data Aggregations Timothy Hayes, Oscar Palomar, Osman S. Unsal, Adrián Cristal, Mateo Valero |
Future Vector Microprocessor Extensions for Data Aggregations Details |
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Mellow Writes: Extending Lifetime in Resistive Memories through Selective Slow Write Backs Lunkai Zhang, Brian Neely, Diana Franklin, Dmitri B. Strukov, Yuan Xie, Frederic T. Chong |
Mellow Writes: Extending Lifetime in Resistive Memories through Selective Slow Write Backs Details |
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Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory Duckhwan Kim, Jaeha Kung, Sek M. Chai, Sudhakar Yalamanchili, Saibal Mukhopadhyay |
Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory Details |
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Power Attack Defense: Securing Battery-Backed Data Centers Chao Li, Zhenhua Wang, Xiaofeng Hou, Haopeng Chen, Xiaoyao Liang, Minyi Guo |
Power Attack Defense: Securing Battery-Backed Data Centers Details |
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Automatic Generation of Efficient Accelerators for Reconfigurable Hardware David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun |
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware Details |
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Evaluation of an Analog Accelerator for Linear Algebra Yipeng Huang, Ning Guo, Mingoo Seok, Yannis P. Tsividis, Simha Sethumadhavan |
Evaluation of an Analog Accelerator for Linear Algebra Details |
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ARM Virtualization: Performance and Architectural Implications Christoffer Dall, Shih-Wei Li, Jin Tack Lim, Jason Nieh, Georgios Koloventzos |
ARM Virtualization: Performance and Architectural Implications Details |
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Accelerating Dependent Cache Misses with an Enhanced Memory Controller Milad Hashemi, Khubaib, Eiman Ebrahimi, Onur Mutlu, Yale N. Patt |
Accelerating Dependent Cache Misses with an Enhanced Memory Controller Details |
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Strober: Fast and Accurate Sample-Based Energy Simulation for Arbitrary RTL Donggyu Kim, Adam M. Izraelevitz, Christopher Celio, Hokeun Kim, Brian Zimmer, Yunsup Lee, Jonathan Bachrach, Krste Asanovic |
Strober: Fast and Accurate Sample-Based Energy Simulation for Arbitrary RTL Details |
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Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units Siyang Wang, Xiangyu Zhang, Yuxuan Li, Ramin Bashizade, Song Yang, Chris Dwyer, Alvin R. Lebeck |
Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units Details |
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Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks Yu-Hsin Chen, Joel S. Emer, Vivienne Sze |
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks Details |
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