David R. Kaeli

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 122

Top Venues

CoRR

ACM Trans. Archit. Code Optim.

ICCAD

IPDPS

Publications

Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) (2024)
Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli
Energy-Aware Tile Size Selection for Affine Programs on GPUs. CGO (2024)
Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR (2024)
Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR (2024)
Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO (2024)
Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA (2024)
Malith Jayaweera, Yanyu Li, Yanzhi Wang, Bin Ren, David R. Kaeli
DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware. IPDPS (2024)
Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. 8 (1) (2024)
Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) (2024)
Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR (2023)
Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO (2023)
Evan Ning, David R. Kaeli
Memory Efficient Multithreaded Incremental Segmented Sieve Algorithm. CoRR (2023)
Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro 43 (5) (2023)
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 (2023)
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 (2023)
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)
Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR (2023)
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)
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) (2022)
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 (2022)
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)
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 (2022)
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)
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)
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)
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) (2022)
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)
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)
Majid Sabbagh, Yunsi Fei, David R. Kaeli
GPU Overdrive Fault Attacks on Neural Networks. ICCAD (2021)
Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli
JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED (2021)
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 (2021)
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) (2021)
Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli
Daisen: A Framework for Visualizing Detailed GPU Execution. CoRR (2021)
Majid Sabbagh, Yunsi Fei, David R. Kaeli
Overdrive Fault Attacks on GPUs. DSN (Supplements) (2021)
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 (2021)
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)
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)
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) (2021)
Maher Kachmar, David R. Kaeli
CALC: A Content-Aware Learning Cache for Storage Systems. NAS (2021)
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)
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)
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)
Devesh Tiwari, David R. Kaeli
Message from the Program Chairs : IISWC 2020. IISWC (2020)
Elmira Karimi, Yunsi Fei, David R. Kaeli
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. HOST (2020)
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)
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)
Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli
Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. 100 (2020)
Charu Kalra, Fritz Previlon, Norm Rubin, David R. Kaeli
ArmorAll: Compiler-based Resilience Targeting GPU Applications. ACM Trans. Archit. Code Optim. 17 (2) (2020)
David R. Kaeli
Editorial: A Message from the Editor-in-Chief. ACM Trans. Archit. Code Optim. 17 (3) (2020)
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 (2020)
Maher Kachmar, David R. Kaeli
A Smart Background Scheduler for Storage Systems. CoRR (2020)
Maher Kachmar, David R. Kaeli
A Smart Background Scheduler for Storage Systems. MASCOTS (2020)
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 (2020)
Elmira Karimi, Yunsi Fei, David R. Kaeli
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. CoRR (2020)
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)
Majid Sabbagh, Yunsi Fei, David R. Kaeli
A Novel GPU Overdrive Fault Attack. DAC (2020)
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) (2020)
Julian Gutierrez, Shi Dong, David R. Kaeli
Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration. HICSS (2020)
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)
Mohammad Khavari Tavana, Yunsi Fei, David R. Kaeli
*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) (2020)
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)
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)
Chao Luo, Yunsi Fei, David R. Kaeli
Side-channel Timing Attack of RSA on a GPU. ACM Trans. Archit. Code Optim. 16 (3) (2019)
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)
Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli
Discovering Programmer Intention Behind Written Source Code. ICMLA (2019)
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) (2019)
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) (2019)
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)
Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli
PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. DATE (2019)
Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli
Summarizing CPU and GPU Design Trends with Product Data. CoRR (2019)
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
Iterative Spectral Method for Alternative Clustering. CoRR (2019)
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) (2019)
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) (2019)
Elmira Karimi, Zhen Hang Jiang, Yunsi Fei, David R. Kaeli
A Timing Side-Channel Attack on a Mobile GPU. ICCD (2018)
Julian Gutierrez, Fritz Previlon, David R. Kaeli
Employing Student Retention Strategies for an Introductory GPU Programming Course. EduHPC@SC (2018)
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)
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)
Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli
Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM (2018)
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)
Cham Kalra, Fritz Previlon, Xiangyu Li, Norman Rubin, David R. Kaeli
PRISM: predicting resilience of GPU applications using statistical methods. SC (2018)
Lu Wang, Xia Zhao, David R. Kaeli, Zhiying Wang, Lieven Eeckhout
Intra-Cluster Coalescing to Reduce GPU NoC Pressure. IPDPS (2018)
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
Iterative Spectral Method for Alternative Clustering. AISTATS (2018)
Mark Wilkening, Fritz Previlon, David R. Kaeli, Sudhanva Gurumurthi, Steven Raasch, Vilas Sridharan
Evaluating the Resilience of Parallel Applications. DFT (2018)
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)
Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin
Airavat: Improving energy efficiency of heterogeneous applications. DATE (2018)
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) (2018)
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)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR (2018)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD (2018)
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)
Chao Luo, Yunsi Fei, David R. Kaeli
GPU acceleration of RSA is vulnerable to side-channel timing attacks. ICCAD (2018)
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 (2018)
Chao Luo, Yunsi Fei, David R. Kaeli
Effective simple-power analysis attacks of elliptic curve cryptography on embedded systems. ICCAD (2018)
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 (2018)
Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech
Evaluating the impact of execution parameters on program vulnerability in GPU applications. DATE (2018)
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)
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) (2018)
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) (2018)
Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli
Live together or Die Alone: Block cooperation to extend lifetime of resistive memories. DATE (2017)
Leiming Yu, Fanny Nina Paravecino, David R. Kaeli, Qianqian Fang
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

David R. Kaeli