Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
- Prashanth Vijayaraghavan
- Apoorva Nitsure
- et al.
- 2024
- MLCAD 2024
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17 results for Charles Mackin
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
- Prashanth Vijayaraghavan
- Luyao Shi
- et al.
- 2024
- LAD 2024
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024
Emerging Nonvolatile Memories for Analog Neuromorphic Computing
- An Chen
- Stefano Ambrogio
- et al.
- 2024
- ECS Spring Meeting 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks
- Geoffrey Burr
- Pritish Narayanan
- et al.
- 2023
- VLSI Technology 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Analog In-Memory Computing for Deep Neural Network Acceleration
- Andrea Fasoli
- Geoffrey Burr
- et al.
- 2023
- MRS Spring Meeting 2023
Analog-AI: Hardware Acceleration for Deep Neural Network Inference
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- NeuMatDeCaS 2023