Ahsan Javed Awan

31 papers C 7Misc 1Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Heuristic Neuromorphic Solver for the Edge User Allocation Problem with Bayesian Confidence Propagation Neural Network.
CoRR
Kecheng Zhang, Anders Lansner, Ahsan Javed Awan, Naresh Balaji Ravichandran, Pawel Andrzej Herman
2025 J jnl
Quantum-Inspired Optimization through Qudit-Based Imaginary Time Evolution.
CoRR
Erik M. Åsgrim, Ahsan Javed Awan
2024 Misc conf
Towards Compute Capacity Maximization in Constrained Interconnect Multi-Chip Quantum Computing.
QCE
Muhammad Asad Ullah, Ahsan Javed Awan, Elias Svensson
2022 J jnl
Reduced-Precision Acceleration of Radio-Astronomical Imaging on Reconfigurable Hardware.
IEEE Access
Stefano Corda, Bram Veenboer, Ahsan Javed Awan, John W. Romein, Roel Jordans, Akash Kumar, Albert-Jan Boonstra, Henk Corporaal
2022 C conf
Towards Hardware Support for FPGA Resource Elasticity.
DSD
Ahsan Javed Awan
2021 J jnl
Hardware Support for FPGA Resource Elasticity.
CoRR
Ahsan Javed Awan, Fidan Aliyeva
2021 C conf
NMPO: Near-Memory Computing Profiling and Offloading.
DSD
Stefano Corda, Madhurya Kumaraswamy, Ahsan Javed Awan, Roel Jordans, Akash Kumar, Henk Corporaal
2021 J jnl
NMPO: Near-Memory Computing Profiling and Offloading.
CoRR
Stefano Corda, Madhurya Kumaraswamy, Ahsan Javed Awan, Roel Jordans, Akash Kumar, Henk Corporaal
2020 — conf
Near Memory Acceleration on High Resolution Radio Astronomy Imaging.
MECO
Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal
2020 J jnl
Near Memory Acceleration on High Resolution Radio Astronomy Imaging.
CoRR
Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal
2019 J jnl
K-Means Clustering on Noisy Intermediate Scale Quantum Computers.
CoRR
Sumsam Ullah Khan, Ahsan Javed Awan, Gemma Vall-Llosera
2019 C conf
Memory and Parallelism Analysis Using a Platform-Independent Approach.
SCOPES
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Memory and Parallelism Analysis Using a Platform-Independent Approach.
CoRR
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Near-Memory Computing: Past, Present, and Future.
CoRR
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2019 J jnl
Near-memory computing: Past, present, and future.
Microprocess. Microsystems
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2019 C conf
Platform Independent Software Analysis for Near Memory Computing.
DSD
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Platform Independent Software Analysis for Near Memory Computing.
CoRR
Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal
2019 J jnl
Support Vector Machines on Noisy Intermediate Scale Quantum Computers.
CoRR
Jiaying Yang, Ahsan Javed Awan, Gemma Vall-Llosera
2018 C conf
A Review of Near-Memory Computing Architectures: Opportunities and Challenges.
DSD
Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2018 — conf
Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms.
UCC Companion
Louis Blin, Ahsan Javed Awan, Thomas Heinis
2017 J jnl
Identifying the potential of Near Data Computing for Apache Spark.
CoRR
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2017 — conf
Identifying the potential of near data processing for apache spark.
MEMSYS
Ahsan Javed Awan, Moriyoshi Ohara, Eduard Ayguadé, Kazuaki Ishizaki, Mats Brorsson, Vladimir Vlassov
2017 — —
Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server.
Ahsan Javed Awan
2016 J jnl
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study.
CoRR
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2016 — conf
Micro-Architectural Characterization of Apache Spark on Batch and Stream Processing Workloads.
BDCloud-SocialCom-SustainCom
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2016 C conf
Node architecture implications for in-memory data analytics on scale-in clusters.
BDCAT
Ahsan Javed Awan, Vladimir Vlassov, Mats Brorsson, Eduard Ayguadé
2015 — conf
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server.
BPOE
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2015 J jnl
How Data Volume Affects \\Spark Based Data Analytics on a Scale-up Server.
CoRR
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2015 — conf
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server.
BDCloud
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2015 J jnl
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server.
CoRR
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
2010 C conf
AWG-Detector: A machine learning tool for the accurate detection of Anomalies due to Wind Gusts (AWG) in the adaptive Altitude control unit of an Aerosonde unmanned Aerial Vehicle.
ISDA
M. Jamal Afridi, Ahsan Javed Awan, Javaid Iqbal