Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid R. Kaeli
Person information
- affiliation: Northeastern University, Boston, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j65]Jude Haris
, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. 173: 140-151 (2023)- [c190]Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CHI 2023: 729:1-729:21 - [i19]Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CoRR abs/2301.13101 (2023) - 2022
- [j64]Fritz Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications. IEEE Trans. Dependable Secur. Comput. 19(1): 288-300 (2022) - [j63]Elmira Karimi, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
VCSR: An Efficient GPU Memory-Aware Sparse Format. IEEE Trans. Parallel Distributed Syst. 33(10): 3977-3989 (2022) - [c189]Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ajay Joshi, David R. Kaeli:
NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs. PACT 2022: 333-345 - [c188]Nicolas Bohm Agostini, Serena Curzel, David R. Kaeli, Antonino Tumeo:
SODA-OPT an MLIR based flow for co-design and high-level synthesis. CF 2022: 201-202 - [c187]Omid Mohaddesi, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Stacy Marsella, Casper Harteveld:
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. CHI 2022: 363:1-363:18 - [c186]Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo:
An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD 2022: 6 - [c185]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED 2022: 61-72 - [i18]Omid Mohaddesi, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Stacy Marsella, Casper Harteveld:
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. CoRR abs/2201.02694 (2022) - [i17]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR abs/2209.01290 (2022) - 2021
- [j62]Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. Comput. Graph. Forum 40(3): 239-250 (2021) - [j61]Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli:
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021) - [c184]Zlatan Feric, Nicolas Bohm Agostini, Daniel Beene, Antonio J. Signes-Pastor, Yuliya Halchenko, Deborah Watkins, Debra MacKenzie, Margaret Karagas, Justin Manjourides, Akram Alshawabkeh, David R. Kaeli:
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization. IEEE BigData 2021: 2801-2812 - [c183]Majid Sabbagh, Yunsi Fei, David R. Kaeli:
Overdrive Fault Attacks on GPUs. DSN (Supplements) 2021: 68-69 - [c182]Jaeguk Ahn, Cheolgyu Jin, Jiho Kim, Minsoo Rhu, Yunsi Fei, David R. Kaeli, John Kim:
Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. HPCA 2021: 332-344 - [c181]Majid Sabbagh, Yunsi Fei, David R. Kaeli:
GPU Overdrive Fault Attacks on Neural Networks. ICCAD 2021: 1-8 - [c180]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 2021: 4801-4811 - [c179]Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli:
GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS 2021: 13-23 - [c178]Maher Kachmar, David R. Kaeli:
CALC: A Content-Aware Learning Cache for Storage Systems. NAS 2021: 1-8 - [c177]Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD 2021: 33-43 - [c176]Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli:
JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED 2021: 189-202 - [c175]Julian Gutierrez, Nicolas Bohm Agostini, David R. Kaeli:
Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices. ICPE (Companion) 2021: 139-144 - [i16]Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. CoRR abs/2104.00828 (2021) - [i15]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR abs/2108.08910 (2021) - [i14]Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR abs/2110.00478 (2021) - 2020
- [j60]Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli:
Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. 100: 102701 (2020) - [j59]Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
Exploiting Bank Conflict-based Side-channel Timing Leakage of GPUs. ACM Trans. Archit. Code Optim. 16(4): 42:1-42:24 (2020) - [j58]Charu Kalra, Fritz Previlon, Norm Rubin, David R. Kaeli:
ArmorAll: Compiler-based Resilience Targeting GPU Applications. ACM Trans. Archit. Code Optim. 17(2): 9:1-9:24 (2020) - [j57]David R. Kaeli:
Editorial: A Message from the Editor-in-Chief. ACM Trans. Archit. Code Optim. 17(3): 16:1-16:2 (2020) - [j56]Mohammad Khavari Tavana, Yunsi Fei, David R. Kaeli:
Nacre**Nacre, or mother-of-pearl, is one of nature's remarkable examples of a durable and break-resistant structure.: Durable, Secure and Energy-Efficient Non-Volatile Memory Utilizing Data Versioning. IEEE Trans. Emerg. Top. Comput. 8(4): 897-906 (2020) - [c174]Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT 2020: 455-466 - [c173]Omid Mohaddesi, Yifan Sun, Rana Azghandi, Rozhin Doroudi, Sam Snodgrass, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. CHI 2020: 1-13 - [c172]Majid Sabbagh, Yunsi Fei, David R. Kaeli:
A Novel GPU Overdrive Fault Attack. DAC 2020: 1-6 - [c171]Julian Gutierrez, Shi Dong, David R. Kaeli:
Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration. HICSS 2020: 1-10 - [c170]Elmira Karimi, Yunsi Fei, David R. Kaeli:
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. HOST 2020: 122-131 - [c169]Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA 2020: 596-609 - [c168]Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli:
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA 2020: 759-764 - [c167]Devesh Tiwari, David R. Kaeli:
Message from the Program Chairs : IISWC 2020. IISWC 2020: x-xi - [c166]Maher Kachmar, David R. Kaeli:
A Smart Background Scheduler for Storage Systems. MASCOTS 2020: 1-8 - [c165]Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli:
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD 2020: 10-19 - [i13]Maher Kachmar, David R. Kaeli:
A Smart Background Scheduler for Storage Systems. CoRR abs/2006.01402 (2020) - [i12]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. CoRR abs/2007.04292 (2020) - [i11]Elmira Karimi, Yunsi Fei, David R. Kaeli:
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. CoRR abs/2007.16175 (2020) - [i10]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
MGPU-TSM: A Multi-GPU System with Truly Shared Memory. CoRR abs/2008.02300 (2020)
2010 – 2019
- 2019
- [j55]Chen Li, Jun Yang, Yifan Sun, Lingling Jin, Lingjie Xu, Zheng Cao, Pengfei Fan, David R. Kaeli, Sheng Ma, Yang Guo:
Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems. IEEE Comput. Archit. Lett. 18(2): 157-160 (2019) - [j54]Christopher C. Bunn, Harrison Barclay, A. Lazarev, F. Yusuf, J. Fitch, J. Booth, Kaustubh Shivdikar, David R. Kaeli:
Student cluster competition 2018, team northeastern university: Reproducing performance of a multi-physics simulations of the Tsunamigenic 2004 Sumatra Megathrust earthquake on the AMD EPYC 7551 architecture. Parallel Comput. 90 (2019) - [j53]Xun Gong, Xiang Gong, Leiming Yu, David R. Kaeli:
HAWS: Accelerating GPU Wavefront Execution through Selective Out-of-order Execution. ACM Trans. Archit. Code Optim. 16(2): 15:1-15:22 (2019) - [j52]Chao Luo, Yunsi Fei, David R. Kaeli:
Side-channel Timing Attack of RSA on a GPU. ACM Trans. Archit. Code Optim. 16(3): 32:1-32:18 (2019) - [j51]Lu Wang, Xia Zhao, David R. Kaeli, Zhiying Wang, Lieven Eeckhout:
Intra-Cluster Coalescing and Distributed-Block Scheduling to Reduce GPU NoC Pressure. IEEE Trans. Computers 68(7): 1064-1076 (2019) - [j50]Fernando Fernandes dos Santos, Pedro Foletto Pimenta, Caio B. Lunardi, Lucas Draghetti, Luigi Carro, David R. Kaeli, Paolo Rech:
Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs. IEEE Trans. Reliab. 68(2): 663-677 (2019) - [c164]Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. DATE 2019: 308-311 - [c163]Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech:
A Comprehensive Evaluation of the Effects of Input Data on the Resilience of GPU Applications. DFT 2019: 1-6 - [c162]Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli:
Discovering Programmer Intention Behind Written Source Code. ICMLA 2019: 432-437 - [c161]Mohammad Khavari Tavana, Yifan Sun, Nicolas Bohm Agostini, David R. Kaeli:
Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems. IPDPS 2019: 664-674 - [c160]Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA 2019: 197-209 - [i9]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. CoRR abs/1909.03441 (2019) - [i8]Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
Summarizing CPU and GPU Design Trends with Product Data. CoRR abs/1911.11313 (2019) - 2018
- [j49]Chao Luo, Yunsi Fei, Liwei Zhang, A. Adam Ding, Pei Luo, Saoni Mukherjee, David R. Kaeli:
Power Analysis Attack of an AES GPU Implementation. J. Hardw. Syst. Secur. 2(1): 69-82 (2018) - [j48]Z. Marcus, J. Booth, Christopher C. Bunn, M. Leger, Spencer Hance, T. Sweeney, Carter McCardwell, David R. Kaeli:
Student cluster competition 2017, team Northeastern University: Reproducing vectorization of the Tersoff multi-body potential on the NVIDIA V100. Parallel Comput. 78: 67-71 (2018) - [j47]Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli:
Block Cooperation: Advancing Lifetime of Resistive Memories by Increasing Utilization of Error Correcting Codes. ACM Trans. Archit. Code Optim. 15(3): 36:1-36:26 (2018) - [j46]Alejandro Villegas, Rafael Asenjo, Angeles G. Navarro, Oscar G. Plata, David R. Kaeli:
Lightweight Hardware Transactional Memory for GPU Scratchpad Memory. IEEE Trans. Computers 67(6): 816-829 (2018) - [c159]Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. AISTATS 2018: 115-123 - [c158]Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli:
Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM 2018: 885-892 - [c157]Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh:
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData 2018: 2855-2862 - [c156]Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh:
An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT). IEEE BigData 2018: 5316-5318 - [c155]Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin:
Airavat: Improving energy efficiency of heterogeneous applications. DATE 2018: 731-736 - [c154]Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech:
Evaluating the impact of execution parameters on program vulnerability in GPU applications. DATE 2018: 809-814 - [c153]Mark Wilkening, Fritz Previlon, David R. Kaeli, Sudhanva Gurumurthi, Steven Raasch, Vilas Sridharan:
Evaluating the Resilience of Parallel Applications. DFT 2018: 1-6 - [c152]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD 2018: 71:1-71:8 - [c151]Chao Luo, Yunsi Fei, David R. Kaeli:
GPU acceleration of RSA is vulnerable to side-channel timing attacks. ICCAD 2018: 113 - [c150]Chao Luo, Yunsi Fei, David R. Kaeli:
Effective simple-power analysis attacks of elliptic curve cryptography on embedded systems. ICCAD 2018: 115 - [c149]Elmira Karimi, Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A Timing Side-Channel Attack on a Mobile GPU. ICCD 2018: 67-74 - [c148]Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
Profiling DNN Workloads on a Volta-based DGX-1 System. IISWC 2018: 122-133 - [c147]Lu Wang, Xia Zhao, David R. Kaeli, Zhiying Wang, Lieven Eeckhout:
Intra-Cluster Coalescing to Reduce GPU NoC Pressure. IPDPS 2018: 990-999 - [c146]Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli:
Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. ISPASS 2018: 209-218 - [c145]Julian Gutierrez, Fritz Previlon, David R. Kaeli:
Employing Student Retention Strategies for an Introductory GPU Programming Course. EduHPC@SC 2018: 31-40 - [c144]Cham Kalra, Fritz Previlon, Xiangyu Li, Norman Rubin, David R. Kaeli:
PRISM: predicting resilience of GPU applications using statistical methods. SC 2018: 69:1-69:14 - [c143]Eduard Ayguadé, Lluc Alvarez, Fabio Banchelli, Martin Burtscher, Arturo González-Escribano, Julian Gutierrez, David A. Joiner, David R. Kaeli, Fritz Previlon, Eduardo Rodriguez-Gutiez, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2018). EduHPC@SC 2018: 78-85 - [c142]Shi Dong, Xiang Gong, Yifan Sun, Trinayan Baruah, David R. Kaeli:
Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. ICPE 2018: 96-106 - [c141]Rozhin Doroudi, Rana Azghandi, Zlatan Feric, Omid Mohaddesi, Yifan Sun, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Pedro Sequeira, Stacy Marsella, Casper Harteveld:
An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors. WSC 2018: 88-99 - [e14]David R. Kaeli, Miquel Pericàs:
Proceedings of the 15th ACM International Conference on Computing Frontiers, CF 2018, Ischia, Italy, May 08-10, 2018. ACM 2018 [contents] - [e13]David R. Kaeli, John Cavazos:
11th Workshop on General Purpose Processing using GPUs, GPGPU@PPoPP 2018, February 25, 2018, Vosendorf (Vienna), Austria. ACM 2018 [contents] - [i7]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR abs/1809.05165 (2018) - [i6]Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR abs/1811.02884 (2018) - 2017
- [c140]Xiang Gong, Zhongliang Chen, Amir Kavyan Ziabari, Rafael Ubal, David R. Kaeli:
TwinKernels: an execution model to improve GPU hardware scheduling at compile time. CGO 2017: 39-49 - [c139]Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli:
Live together or Die Alone: Block cooperation to extend lifetime of resistive memories. DATE 2017: 1098-1103 - [c138]Amin Jadidi, Mohammad Arjomand, Mohammad Khavari Tavana, David R. Kaeli, Mahmut T. Kandemir, Chita R. Das:
Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in PCM Memories. DSN 2017: 85-96 - [c137]Alejandro Villegas, Rafael Asenjo, Angeles G. Navarro, Oscar G. Plata, Rafael Ubal, David R. Kaeli:
Hardware Support for Scratchpad Memory Transactions on GPU Architectures. Euro-Par 2017: 273-286 - [c136]Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A Novel Side-Channel Timing Attack on GPUs. ACM Great Lakes Symposium on VLSI 2017: 167-172 - [c135]Mohammad Khavari Tavana, David R. Kaeli:
Cost-effective write disturbance mitigation techniques for advancing PCM density. ICCAD 2017: 253-260 - [c134]Akshay Lahiry, David R. Kaeli:
Dual Dictionary Compression for the Last Level Cache. ICCD 2017: 353-360 - [c133]Navid Farazmand, David R. Kaeli:
Quality of Service-Aware Dynamic Voltage and Frequency Scaling for Mobile 3D Graphics Applications. ICCD 2017: 513-516 - [c132]Leiming Yu, Xun Gong, Yifan Sun, Qianqian Fang, Norm Rubin, David R. Kaeli:
Moka: Model-based concurrent kernel analysis. IISWC 2017: 197-206 - [c131]Xun Gong, Rafael Ubal, David R. Kaeli:
Multi2Sim Kepler: A detailed architectural GPU simulator. ISPASS 2017: 269-278 - [c130]Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das, David R. Kaeli:
REMAP: a reliability/endurance mechanism for advancing PCM. MEMSYS 2017: 385-398 - [c129]Fritz G. Previlon, Babatunde Egbantan, Devesh Tiwari, Paolo Rech, David R. Kaeli:
Combining architectural fault-injection and neutron beam testing approaches toward better understanding of GPU soft-error resilience. MWSCAS 2017: 898-901 - [c128]Shi Dong, David R. Kaeli:
DNNMark: A Deep Neural Network Benchmark Suite for GPUs. GPGPU@PPoPP 2017: 63-72 - [p2]Fanny Nina Paravecino, Leiming Yu, Qianqian Fang, David R. Kaeli:
High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 67-85 - [i5]Leiming Yu, Fanny Nina Paravecino, David R. Kaeli, Qianqian Fang:
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. CoRR abs/1711.03244 (2017) - 2016
- [j45]Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli:
UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs. ACM Trans. Archit. Code Optim. 13(4): 35:1-35:25 (2016) - [c127]Yifan Sun, Chisheng Liang, Steven C. Sutherland, Casper Harteveld, David R. Kaeli:
Modeling player decisions in a supply chain game. CIG 2016: 1-8 - [c126]Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A complete key recovery timing attack on a GPU. HPCA 2016: 394-405 - [c125]Amir Momeni, Hamed Tabkhi, Gunar Schirner, David R. Kaeli:
Hardware thread reordering to boost OpenCL throughput on FPGAs. ICCD 2016: 257-264 - [c124]Yifan Sun, Xiang Gong, Amir Kavyan Ziabari, Leiming Yu, Xiangyu Li, Saoni Mukherjee, Carter McCardwell, Alejandro Villegas, David R. Kaeli:
Hetero-mark, a benchmark suite for CPU-GPU collaborative computing. IISWC 2016: 13-22 - [c123]Yash Ukidave, Xiangyu Li, David R. Kaeli:
Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning. IPDPS 2016: 353-362 - [c122]Zhongliang Chen, David R. Kaeli:
Balancing Scalar and Vector Execution on GPU Architectures. IPDPS 2016: 973-982 - [c121]Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David R. Kaeli:
A comprehensive performance analysis of HSA and OpenCL 2.0. ISPASS 2016: 183-193 - [c120]