MAKCI: A Multi-Abstraction AI Kernel Cost Instrumentor for Performance Modeling in AI Compilers
- Shubham Jain
- Ritik Raj
- 2026
- PyTorch Conference 2026
Poster
Publications
10 results for Shubham Jain
Reducing Address Arithmetic Overheads: New Compiler Techniques for Programmable Dataflow-based AI Accelerators
- Prasanth Chatarasi
- Nicole Khoun
- et al.
- 2026
- PACT 2026
Conference paperEliminating Redundancy: Ultra-compact Code Generation for Programmable Dataflow Accelerators
- Prasanth Chatarasi
- Alex Gatea
- et al.
- 2026
- CGO 2026
Conference paperSpyre: An inference-optimized scalable AI accelerator for enterprise workloads
- Matt Cohen
- Monodeep Kar
- et al.
- 2026
- ISSCC 2026
Conference paperEnabling Spill-Free Compilation via Affine-Based Live Range Reduction Optimization
- Prasanth Chatarasi
- Alex Gatea
- et al.
- 2026
- CGO 2026
Conference paperDeepTools: A Full-Stack Machine Learning Compiler for the IBM Spyre Accelerator
- Prasanth Chatarasi
- Shubham Jain
- et al.
- 2026
- CGO 2026
Workshop paperAnalog-AI Hardware Accelerators for low-latency Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2025
- CICC 2025
Invited talkArchitecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024
Workshop paperDesign of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Invited talkArchitectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Invited talk