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2020 – today
- 2026
[c10]Endri Taka
, Andre Roesti, Joseph Melber, Pranathi Vasireddy, Kristof Denolf, Diana Marculescu:
Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen™ AI NPUs. FPGA 2026: 42- 2025
- [c9]Kaustubh Manohar Mhatre, Venkata Guru Prasanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora:
Performance Analysis of GEMM Workloads on the AMD Versal Platform. FPGA 2025: 46 - [c8]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. FPGA 2025: 159-171 - [c7]Kaustubh Manohar Mhatre, Endri Taka, Aman Arora:
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. FPL 2025: 323-331 - [c6]Kaustubh Manohar Mhatre, Venkata Guru Prashanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora:
Performance Analysis of GEMM Workloads on the AMD Versal Platform. ISPASS 2025: 150-161 - [i8]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. CoRR abs/2502.03763 (2025) - [i7]Kaustubh Manohar Mhatre, Endri Taka, Aman Arora:
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. CoRR abs/2504.09688 (2025) - [i6]Erwei Wang, Samuel Bayliss, Andra Bisca, Zachary Blair, Sangeeta Chowdhary, Kristof Denolf, Jeff Fifield, Brandon Freiberger, Erika Hunhoff, Phil James-Roxby, Jack Lo, Joseph Melber, Stephen Neuendorffer, Eddie Richter, Andre Roesti, Javier Setoain, Gagandeep Singh, Endri Taka, Pranathi Vasireddy, Zhewen Yu, Niansong Zhang, Jinming Zhuang:
From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR. CoRR abs/2510.14871 (2025) - [i5]Chengyue Wang, Wesley Pang, Xinrui Wu, Gregory Jun, Luis Romero, Endri Taka, Diana Marculescu, Tony Nowatzki, Pranathi Vasireddy, Joseph Melber, Deming Chen, Jason Cong:
Can Asymmetric Tile Buffering Be Beneficial? CoRR abs/2511.16041 (2025) - [i4]Endri Taka, Andre Roesti, Joseph Melber, Pranathi Vasireddy, Kristof Denolf, Diana Marculescu:
Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen AI NPUs. CoRR abs/2512.13282 (2025) - 2024
- [c5]Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu:
ELSA: Exploiting Layer-wise N: M Sparsity for Vision Transformer Acceleration. CVPR Workshops 2024: 8006-8015 - [c4]Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. FCCM 2024: 54-65 - [i3]Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. CoRR abs/2404.11066 (2024) - [i2]Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu:
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration. CoRR abs/2409.09708 (2024) - 2023
- [c3]Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu:
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. ICFPT 2023: 96-105 - [i1]Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu:
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. CoRR abs/2311.04980 (2023) - 2022
- [c2]Endri Taka, George Lentaris, Dimitrios Soudris:
Improving the performance of RISC-V softcores on FPGA by exploiting PVT variability and DVFS. ISCAS 2022: 1595-1599 - 2021
- [j1]Endri Taka, Konstantinos Maragos, George Lentaris, Dimitrios Soudris:
Process Variability Analysis in Interconnect, Logic, and Arithmetic Blocks of 16-nm FinFET FPGAs. ACM Trans. Reconfigurable Technol. Syst. 14(3): 13:1-13:30 (2021)
2010 – 2019
- 2019
- [c1]Konstantinos Maragos, Endri Taka, George Lentaris, Ioannis Stratakos, Dimitrios Soudris:
Analysis of Performance Variation in 16nm FinFET FPGA Devices. FPL 2019: 38-44
Coauthor Index
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