Amir Kavyan Ziabari

Orcid: 0000-0002-5963-2374

According to our database1, Amir Kavyan Ziabari authored at least 15 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




MGPUSim: enabling multi-GPU performance modeling and optimization.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

Block Cooperation: Advancing Lifetime of Resistive Memories by Increasing Utilization of Error Correcting Codes.
ACM Trans. Archit. Code Optim., 2018

Profiling DNN Workloads on a Volta-based DGX-1 System.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

REMAP: a reliability/endurance mechanism for advancing PCM.
Proceedings of the International Symposium on Memory Systems, 2017

Live together or Die Alone: Block cooperation to extend lifetime of resistive memories.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

TwinKernels: an execution model to improve GPU hardware scheduling at compile time.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs.
ACM Trans. Archit. Code Optim., 2016

A comprehensive performance analysis of HSA and OpenCL 2.0.
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.
Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

Visualization of OpenCL application execution on CPU-GPU systems.
Proceedings of the Workshop on Computer Architecture Education, 2015

Asymmetric NoC Architectures for GPU Systems.
Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

A framework for visualization of OpenCL applications execution: a tutorial.
Proceedings of the 3rd International Workshop on OpenCL, 2015

Leveraging Silicon-Photonic NoC for Designing Scalable GPUs.
Proceedings of the 29th ACM on International Conference on Supercomputing, 2015

Analyzing power efficiency of optimization techniques and algorithm design methods for applications on heterogeneous platforms.
Int. J. High Perform. Comput. Appl., 2014

Quantifying the energy efficiency of FFT on heterogeneous platforms.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013