Alish Kanani

17 papers Misc 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DUET: Disaggregated Hybrid Mamba-Transformer LLMs with Prefill and Decode-Specific Packages.
CoRR
Alish Kanani, Sangwan Lee, Han Lyu, Jiahao Lin, Jaehyun Park, Ümit Y. Ogras
2026 J jnl
LEXI: Lossless Exponent Coding for Efficient Inter-Chiplet Communication in Hybrid LLMs.
CoRR
Miao Sun, Alish Kanani, Kaushik Shroff, Ümit Y. Ogras
2026 J jnl
MFIT : Multi-FIdelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures.
ACM Trans. Design Autom. Electr. Syst.
Lukas Pfromm, Alish Kanani, Harsh Sharma, Parth Solanki, Eric Tervo, Jaehyun Park, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2025 J jnl
CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems.
CoRR
Lukas Pfromm, Alish Kanani, Harsh Sharma, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2025 J jnl
THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures.
CoRR
Alish Kanani, Lukas Pfromm, Harsh Sharma, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2025 J jnl
THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures.
ACM Trans. Embed. Comput. Syst.
Alish Kanani, Lukas Pfromm, Harsh Sharma, Jana Doppa, Partha Pande, Ümit Y. Ogras
2025 J jnl
eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing.
CoRR
Jiyong Kim, Jaeho Lee, Jiahao Lin, Alish Kanani, Miao Sun, Ümit Y. Ogras, Jaehyun Park
2025 J jnl
eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing.
ACM Trans. Embed. Comput. Syst.
Jiyong Kim, Jaeho Lee, Jiahao Lin, Alish Kanani, Miao Sun, Ümit Y. Ogras, Jaehyun Park
2024 — conf
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.
LASCAS
Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal
2024 J jnl
MFIT: Multi-Fidelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures.
CoRR
Lukas Pfromm, Alish Kanani, Harsh Sharma, Parth Solanki, Eric Tervo, Jaehyun Park, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2024 J jnl
Runtime Monitoring of ML-Based Scheduling Algorithms Toward Robust Domain-Specific SoCs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
A. Alper Goksoy, Alish Kanani, Satrajit Chatterjee, Ümit Y. Ogras
2024 Misc conf
Thermal Modeling and Management Challenges in Heterogenous Integration: 2.5D Chiplet Platforms and Beyond.
VTS
Jaehyun Park, Alish Kanani, Lukas Pfromm, Harsh Sharma, Parth Solanki, Eric Tervo, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras
2023 J jnl
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.
CoRR
Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal
2021 — conf
ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge.
EMBC
Alish Kanani, Rajat Bhattacharjya, Dip Sankar Banerjee
2021 — conf
LightFPGA: Scalable and Automated FPGA Acceleration of LightGBM for Machine Learning Applications.
VDAT
Alish Kanani, Swar Vaidya, Harshit Agarwal
2020 — conf
ACA-CSU: A Carry Selection Based Accuracy Configurable Approximate Adder Design.
ISVLSI
Alish Kanani, Jigar Mehta, Neeraj Goel
2020 — conf
ReARM: A Reconfigurable Approximate Rounding-Based Multiplier for Image Processing.
VDAT
Rajat Bhattacharjya, Alish Kanani, Neeraj Goel