Alish Kanani

According to our database, Alish Kanani authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

HeMu: Energy-Efficient DNN Inferencing via Heterogeneous Multichiplet Architectures.

Harsh Sharma, Alish Kanani, Janardhan Rao Doppa, Ümit Y. Ogras, Partha Pratim Pande

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2026

LEXI: Lossless Exponent Coding for Efficient Inter-Chiplet Communication in Hybrid LLMs.

Miao Sun, Alish Kanani, Kaushik Shroff, Ümit Y. Ogras

CoRR, March, 2026

DUET: Disaggregated Hybrid Mamba-Transformer LLMs with Prefill and Decode-Specific Packages.

Alish Kanani, Sangwan Lee, Han Lyu, Jiahao Lin, Jaehyun Park, Ümit Y. Ogras

CoRR, March, 2026

MFIT : Multi-FIdelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures.

Lukas Pfromm, Alish Kanani, Harsh Sharma, Parth Solanki, Eric Tervo, Jaehyun Park, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras

ACM Trans. Design Autom. Electr. Syst., January, 2026

2025

CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems.

Lukas Pfromm, Alish Kanani, Harsh Sharma, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras

CoRR, October, 2025

eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing.

Jiyong Kim, Jaeho Lee, Jiahao Lin, Alish Kanani, Miao Sun, Ümit Y. Ogras, Jaehyun Park

ACM Trans. Embed. Comput. Syst., 2025

THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures.

Alish Kanani, Lukas Pfromm, Harsh Sharma, Jana Doppa, Partha Pande, Ümit Y. Ogras

ACM Trans. Embed. Comput. Syst., 2025

2024

Runtime Monitoring of ML-Based Scheduling Algorithms Toward Robust Domain-Specific SoCs.

A. Alper Goksoy, Alish Kanani, Satrajit Chatterjee, Ümit Y. Ogras

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond.

Jaehyun Park, Alish Kanani, Lukas Pfromm, Harsh Sharma, Parth Solanki, Eric Tervo, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.

Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal

Proceedings of the 15th IEEE Latin America Symposium on Circuits and Systems, 2024

2021

LightFPGA: Scalable and Automated FPGA Acceleration of LightGBM for Machine Learning Applications.

Alish Kanani, Swar Vaidya, Harshit Agarwal

Proceedings of the 25th International Symposium on VLSI Design and Test, 2021

ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge.

Alish Kanani, Rajat Bhattacharjya, Dip Sankar Banerjee

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

ReARM: A Reconfigurable Approximate Rounding-Based Multiplier for Image Processing.

Rajat Bhattacharjya, Alish Kanani, Neeraj Goel

Proceedings of the 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020

ACA-CSU: A Carry Selection Based Accuracy Configurable Approximate Adder Design.

Alish Kanani, Jigar Mehta, Neeraj Goel

Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020