Endri Taka

19 papers A 3B 3C 1Misc 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A conf
Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen™ AI NPUs.
FPGA
Endri Taka, Andre Roesti, Joseph Melber, Pranathi Vasireddy, Kristof Denolf, Diana Marculescu
2025 J jnl
Can Asymmetric Tile Buffering Be Beneficial?
CoRR
Chengyue Wang, Wesley Pang, Xinrui Wu, Gregory Jun, Luis Romero, Endri Taka, Diana Marculescu, Tony Nowatzki, Pranathi Vasireddy, Joseph Melber, Deming Chen, Jason Cong
2025 J jnl
From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR.
CoRR
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
2025 B conf
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines.
FPL
Kaustubh Manohar Mhatre, Endri Taka, Aman Arora
2025 J jnl
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines.
CoRR
Kaustubh Manohar Mhatre, Endri Taka, Aman Arora
2025 A conf
Performance Analysis of GEMM Workloads on the AMD Versal Platform.
FPGA
Kaustubh Manohar Mhatre, Venkata Guru Prasanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora
2025 B conf
Performance Analysis of GEMM Workloads on the AMD Versal Platform.
ISPASS
Kaustubh Manohar Mhatre, Venkata Guru Prashanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora
2025 J jnl
Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen AI NPUs.
CoRR
Endri Taka, Andre Roesti, Joseph Melber, Pranathi Vasireddy, Kristof Denolf, Diana Marculescu
2025 A conf
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration.
FPGA
Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu
2025 J jnl
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration.
CoRR
Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu
2024 — conf
ELSA: Exploiting Layer-wise N: M Sparsity for Vision Transformer Acceleration.
CVPR Workshops
Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu
2024 J jnl
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration.
CoRR
Ning-Chi Huang, Chi-Chih Chang, Wei-Cheng Lin, Endri Taka, Diana Marculescu, Kai-Chiang Wu
2024 Misc conf
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs.
FCCM
Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora
2024 J jnl
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs.
CoRR
Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora
2023 — conf
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine.
ICFPT
Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
2023 J jnl
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine.
CoRR
Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
2022 C conf
Improving the performance of RISC-V softcores on FPGA by exploiting PVT variability and DVFS.
ISCAS
Endri Taka, George Lentaris, Dimitrios Soudris
2021 J jnl
Process Variability Analysis in Interconnect, Logic, and Arithmetic Blocks of 16-nm FinFET FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Endri Taka, Konstantinos Maragos, George Lentaris, Dimitrios Soudris
2019 B conf
Analysis of Performance Variation in 16nm FinFET FPGA Devices.
FPL
Konstantinos Maragos, Endri Taka, George Lentaris, Ioannis Stratakos, Dimitrios Soudris