Zafar Ahmad

According to our database, Zafar Ahmad authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Fast American Option Pricing using Nonlinear Stencils.

Zafar Ahmad, Reilly Browne, Rezaul Chowdhury, Rathish Das, Yushen Huang, Yimin Zhu

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques.

Zafar Ahmad, Muhammad Salman Khan, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

A Fast Algorithm for Aperiodic Linear Stencil Computation using Fast Fourier Transforms.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu

ACM Trans. Parallel Comput., December, 2023

Fast Option Pricing using Nonlinear Stencils.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Yushen Huang, Yimin Zhu

CoRR, 2023

2022

Brief Announcement: Faster Stencil Computations using Gaussian Approximations.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu

Proceedings of the SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11, 2022

FOURST: A code generator for FFT-based fast stencil computations.

Zafar Ahmad, Mohammad Mahdi Javanmard, Gregory Thomas Croisdale, Aaron Gregory, Pramod Ganapathi, Louis-Noël Pouchet, Rezaul Chowdhury

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021

Fast Stencil Computations using Fast Fourier Transforms.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Low-Span Parallel Algorithms for the Binary-Forking Model.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Mohammad Mahdi Javanmard

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Understanding Recursive Divide-and-Conquer Dynamic Programs in Fork-Join and Data-Flow Execution Models.

Poornima Nookala, Zafar Ahmad, Mohammad Mahdi Javanmard, Martin Kong, Rezaul Chowdhury, Robert J. Harrison

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

2020

Low-Depth Parallel Algorithms for the Binary-Forking Model without Atomics.

Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Mohammad Mahdi Javanmard

CoRR, 2020

Improved MapReduce Load Balancing through Distribution-Dependent Hash Function Optimization.

Zafar Ahmad, Sharmila Duppala, Rezaul Chowdhury, Steven Skiena

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Efficient Execution of Dynamic Programming Algorithms on Apache Spark.

Mohammad Mahdi Javanmard, Zafar Ahmad, Jaroslaw Zola, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison

Proceedings of the IEEE International Conference on Cluster Computing, 2020

Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers.

Mohammad Mahdi Javanmard, Zafar Ahmad, Martin Kong, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

Toward Efficient Architecture-Independent Algorithms for Dynamic Programs.

Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen L. Tschudi, Rezaul Chowdhury

Proceedings of the High Performance Computing - 34th International Conference, 2019

Toward efficient architecture-independent algorithms for dynamic programs: poster.

Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen L. Tschudi, Rezaul Chowdhury

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019