​
Login / Signup
Salim Ullah
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 34
Top Topics
Highly Accurate
Tree Search
Short Term Load Forecasting
Trained Neural Networks
Top Venues
CoRR
ACM Great Lakes Symposium on VLSI
ASP-DAC
DAC
</>
Publications
</>
Siva Satyendra Sahoo
,
Salim Ullah
,
Soumyo Bhattacharjee
,
Akash Kumar
AxOCS: Scaling FPGA-Based Approximate Operators Using Configuration Supersampling.
IEEE Trans. Circuits Syst. I Regul. Pap.
71 (6) (2024)
Siva Satyendra Sahoo
,
Salim Ullah
,
Akash Kumar
: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming.
ACM Trans. Reconfigurable Technol. Syst.
17 (2) (2024)
Rohit Ranjan
,
Salim Ullah
,
Siva Satyendra Sahoo
,
Akash Kumar
SyFAxO-GeN: Synthesizing FPGA-Based Approximate Operators with Generative Networks.
ASP-DAC
(2023)
Siva Satyendra Sahoo
,
Salim Ullah
,
Akash Kumar
: A Tree Search Approach to Synthesizing FPGA-based Approximate Operators.
ACM Trans. Embed. Comput. Syst.
22 (5s) (2023)
Siva Satyendra Sahoo
,
Salim Ullah
,
Akash Kumar
AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming.
CoRR
(2023)
Siva Satyendra Sahoo
,
Salim Ullah
,
Soumyo Bhattacharjee
,
Akash Kumar
AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling.
CoRR
(2023)
Salim Ullah
,
Siva Satyendra Sahoo
,
Akash Kumar
CoOAx: Correlation-aware Synthesis of FPGA-based Approximate Operators.
ACM Great Lakes Symposium on VLSI
(2023)
Yuhao Liu
,
Shubham Rai
,
Salim Ullah
,
Akash Kumar
NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs.
IPDPS Workshops
(2023)
Yuankang Zhao
,
Salim Ullah
,
Siva Satyendra Sahoo
,
Akash Kumar
NvMISC: Toward an FPGA-Based Emulation Platform for RISC-V and Nonvolatile Memories.
IEEE Embed. Syst. Lett.
15 (4) (2023)
Yuhao Liu
,
Shubham Rai
,
Salim Ullah
,
Akash Kumar
High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers.
IEEE Embed. Syst. Lett.
15 (4) (2023)
Salim Ullah
,
Siva Satyendra Sahoo
,
Nemath Ahmed
,
Debabrata Chaudhury
,
Akash Kumar
: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems.
ACM Trans. Embed. Comput. Syst.
21 (3) (2022)
Yuhao Liu
,
Shubham Rai
,
Salim Ullah
,
Akash Kumar
NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture.
FPT
(2022)
Amritha Immaneni
,
Salim Ullah
,
Suresh Nambi
,
Siva Satyendra Sahoo
,
Akash Kumar
PosAx-O: Exploring Operator-level Approximations for Posit Arithmetic in Embedded AI/ML.
DSD
(2022)
Negar Neda
,
Salim Ullah
,
Azam Ghanbari
,
Hoda Mahdiani
,
Mehdi Modarressi
,
Akash Kumar
Multi-Precision Deep Neural Network Acceleration on FPGAs.
ASP-DAC
(2022)
Fanny Spagnolo
,
Salim Ullah
,
Pasquale Corsonello
,
Akash Kumar
ERMES: Efficient Racetrack Memory Emulation System based on FPGA.
FPL
(2022)
Salim Ullah
,
Semeen Rehman
,
Muhammad Shafique
,
Akash Kumar
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
41 (2) (2022)
Siva Satyendra Sahoo
,
Akhil Raj Baranwal
,
Salim Ullah
,
Akash Kumar
: A Memory-oriented Optimization Approach to Reinforcement Learning on FPGA-based Embedded Systems.
ACM Great Lakes Symposium on VLSI
(2021)
Salim Ullah
,
Siva Satyendra Sahoo
,
Akash Kumar
CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems.
DAC
(2021)
Salim Ullah
,
Tuan Duy Anh Nguyen
,
Akash Kumar
Energy-Efficient Low-Latency Signed Multiplier for FPGA-Based Hardware Accelerators.
IEEE Embed. Syst. Lett.
13 (2) (2021)
Suresh Nambi
,
Salim Ullah
,
Siva Satyendra Sahoo
,
Aditya Lohana
,
Farhad Merchant
,
Akash Kumar
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems.
IEEE Access
9 (2021)
Akhil Raj Baranwal
,
Salim Ullah
,
Siva Satyendra Sahoo
,
Akash Kumar
ReLAccS: A Multilevel Approach to Accelerator Design for Reinforcement Learning on FPGA-Based Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
40 (9) (2021)
Salim Ullah
,
Hendrik Schmidl
,
Siva Satyendra Sahoo
,
Semeen Rehman
,
Akash Kumar
Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures.
IEEE Trans. Computers
70 (3) (2021)
Arlene John
,
Salim Ullah
,
Akash Kumar
,
Barry Cardiff
,
Deepu John
An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors.
ICECS
(2020)
Siddharth Gupta
,
Salim Ullah
,
Kapil Ahuja
,
Aruna Tiwari
,
Akash Kumar
ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks.
IEEE Access
8 (2020)
Zahra Ebrahimi
,
Salim Ullah
,
Akash Kumar
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy.
ACM Great Lakes Symposium on VLSI
(2020)
Zahra Ebrahimi
,
Salim Ullah
,
Akash Kumar
LeAp: Leading-one Detection-based Softcore Approximate Multipliers with Tunable Accuracy.
ASP-DAC
(2020)
Zahra Ebrahimi
,
Salim Ullah
,
Akash Kumar
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy.
CoRR
(2020)
Salim Ullah
,
Siddharth Gupta
,
Kapil Ahuja
,
Aruna Tiwari
,
Akash Kumar
L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks.
DATE
(2020)
Suresh Nambi
,
Salim Ullah
,
Aditya Lohana
,
Siva Satyendra Sahoo
,
Farhad Merchant
,
Akash Kumar
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems.
CoRR
(2020)
Adarsha Balaji
,
Salim Ullah
,
Anup Das
,
Akash Kumar
Design Methodology for Embedded Approximate Artificial Neural Networks.
ACM Great Lakes Symposium on VLSI
(2019)
Rahim Ullah
,
Nadeem Javaid
,
Ghulam Hafeez
,
Salim Ullah
,
Fahad Ahmad
,
Ashraf Ullah
A Comparative Analysis of Neural Networks and Enhancement of ELM for Short Term Load Forecasting.
CISIS
(2019)
Salim Ullah
,
Sanjeev Sripadraj Murthy
,
Akash Kumar
: library of FPGA-based approximate multipliers.
DAC
(2018)
Bharath Srinivas Prabakaran
,
Semeen Rehman
,
Muhammad Abdullah Hanif
,
Salim Ullah
,
Ghazal Mazaheri
,
Akash Kumar
,
Muhammad Shafique
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems.
DATE
(2018)
Salim Ullah
,
Semeen Rehman
,
Bharath Srinivas Prabakaran
,
Florian Kriebel
,
Muhammad Abdullah Hanif
,
Muhammad Shafique
,
Akash Kumar
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators.
DAC
(2018)