Vinod . — DevOps Engineer
Expertise in CPU, GPU compute and memory subsystem architecture with key foci on workload characterization, performance modelling and performance analysis. Interest areas: a. Domain Specific Architectures - GPU, image processing, Systolic (TPU) b. Caching architecture and memory traffic impact to performance c. Competitive architecture understanding d. Compiler features Analysis e. Workload (General purpose, domain specific) reduction techniques f. Levels of abstraction in IP / SOC performance models g. Application of statistics in architecture performance analysis h. Usage of R for performance data analysis and SytemC/TLM for performance modelling
Stackforce AI infers this person is a Semiconductor Performance Architect with deep expertise in CPU and GPU architectures.
Location: Bengaluru, Karnataka, India
Experience: 19 yrs 5 mos
Skills
- Microarchitecture
- Optimization
Career Highlights
- Expertise in CPU and GPU architecture performance analysis.
- Proficient in workload characterization and performance modeling.
- Strong background in memory subsystem optimization.
Work Experience
Tenstorrent
AI Performance Engineer (1 yr 6 mos)
Qualcomm
Senior Staff Engineer (3 yrs 2 mos)
AMD
Principal Member Of Technical Staff (3 mos)
Qualcomm
Performance Architect (3 yrs 6 mos)
Intel Corporation
Performance Architect (GPU Compute) (5 yrs 7 mos)
Graphics HW Engineer (Workload Characterization) (1 yr 11 mos)
Performance Analyst (Memory Subsystem) (5 mos)
Performance Analyst (Image Processing) (10 mos)
Montalvo Systems
Performance Analyst (CPU) (7 mos)
Intel
Memory Controller Performance Modeller (1 yr)
Platform Performance Data Analyst (7 mos)
Education
MS at University of Minnesota
B.Tech at College of Engineering Trivandrum
High School at ADIS
