Vignesh Balaji
Research Scientist at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolVignesh Balaji is a research scientist at NVIDIA’s Architecture Research Group with a decade of experience at the intersection of computer architecture and graph/sparse computation. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon, where his research improved locality for graph processing by leveraging input-dependent structural properties. His internships at NVIDIA and Intel Labs focused on accelerator architectures and optimizing tensor workloads for server-class processors, reflecting a practical bent toward hardware-software co-design. Earlier work spans runtime reconfigurable co-processors and device-level feasibility studies, showing comfort across system scales from SoC to datacenter. Based in the United States, he maintains an up-to-date project portfolio on his personal website and combines rigorous academic training with hands-on engineering in architectural research. An understated thread in his career is a consistent focus on exploiting data structure characteristics to drive specialized, efficient hardware and software solutions.
10 years of coding experience
BE(Hons.), Electronics and Instrumentation, 9.34/10, BE(Hons.), Electronics and Instrumentation, 9.34/10 at BITS Pilani, Pilani CampusDoctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Carnegie Mellon University
English, Tamil, Hindi
Github Skills (6)
fifo6
lru5
cpp3
shared-memory2
graph2
graph-algorithms1
Programming languages (1)
Github contributions (5)
bvignesh/bvignesh.github.io
Apr 2021 - Jun 2024
Contributions:54 pushes, 1 branch in 3 years 1 month
CMUAbstract/RADAR-Graph
Apr 2019 - Mar 2022
Contributions:17 commits, 10 pushes, 1 branch in 2 years 11 months
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