I'm interested in designing efficient hardware and embedded systems, with a focus on AI accelerator architecture and optimization.
- Compute-in-Memory (CIM)
- Digital CIM Architectures
- Analog Compute-in-Memory
- Dataflow Optimization
- Data Movement & Data Reuse
- Memory Hierarchy Optimization
- Energy & Performance Optimization
- Systolic Arrays
- Processing Element (PE) Architectures
- Sparsity & Quantization
- Hardware/Software Co-Design
- STM32 & ARM-based Systems
- Bare-Metal C/C++
- FPGA & VHDL
- Digital Hardware Design
- Embedded Linux
- Peripheral Drivers & Low-Level Programming
Programming
C C++ Python
Hardware & Embedded
STM32 ARM FPGA VHDL Embedded Linux
AI Accelerator Research
Timeloop Accelergy Dataflow Analysis CIM
Development Tools
Git GitHub Linux Docker
Developing expertise in:
Efficient AI Hardware → Computer Architecture → Embedded Systems
with a particular interest in energy-efficient and data-movement-aware accelerator architectures.
- GitHub: @rebaikhali