Amir Kavyan Ziabari

According to our database, Amir Kavyan Ziabari authored at least 15 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

MGPUSim: enabling multi-GPU performance modeling and optimization.

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

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

Block Cooperation: Advancing Lifetime of Resistive Memories by Increasing Utilization of Error Correcting Codes.

Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli

ACM Trans. Archit. Code Optim., 2018

Profiling DNN Workloads on a Volta-based DGX-1 System.

Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017

REMAP: a reliability/endurance mechanism for advancing PCM.

Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das, David R. Kaeli

Proceedings of the International Symposium on Memory Systems, 2017

Live together or Die Alone: Block cooperation to extend lifetime of resistive memories.

Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

TwinKernels: an execution model to improve GPU hardware scheduling at compile time.

Xiang Gong, Zhongliang Chen, Amir Kavyan Ziabari, Rafael Ubal, David R. Kaeli

Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

2016

UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs.

Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli

ACM Trans. Archit. Code Optim., 2016

A comprehensive performance analysis of HSA and OpenCL 2.0.

Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David R. Kaeli

Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

Hetero-mark, a benchmark suite for CPU-GPU collaborative computing.

Yifan Sun, Xiang Gong, Amir Kavyan Ziabari, Leiming Yu, Xiangyu Li, Saoni Mukherjee, Carter McCardwell, Alejandro Villegas, David R. Kaeli

Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

2015

Visualization of OpenCL application execution on CPU-GPU systems.

Amir Kavyan Ziabari, Rafael Ubal, Dana Schaa, David R. Kaeli

Proceedings of the Workshop on Computer Architecture Education, 2015

Asymmetric NoC Architectures for GPU Systems.

Amir Kavyan Ziabari, José L. Abellán, Yenai Ma, Ajay Joshi, David R. Kaeli

Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

A framework for visualization of OpenCL applications execution: a tutorial.

Amir Kavyan Ziabari, Rafael Ubal Tena, Dana Schaa, David R. Kaeli

Proceedings of the 3rd International Workshop on OpenCL, 2015

Leveraging Silicon-Photonic NoC for Designing Scalable GPUs.

Amir Kavyan Ziabari, José L. Abellán, Rafael Ubal, Chao Chen, Ajay Joshi, David R. Kaeli

Proceedings of the 29th ACM on International Conference on Supercomputing, 2015

2014

Analyzing power efficiency of optimization techniques and algorithm design methods for applications on heterogeneous platforms.

Yash Ukidave, Amir Kavyan Ziabari, Perhaad Mistry, Gunar Schirner, David R. Kaeli

Int. J. High Perform. Comput. Appl., 2014

2013

Quantifying the energy efficiency of FFT on heterogeneous platforms.

Yash Ukidave, Amir Kavyan Ziabari, Perhaad Mistry, Gunar Schirner, David R. Kaeli

Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013