Scholar
Hao Wang
Google Scholar ID: mBoia0YAAAAJ
Nvidia, Meta/Facebook, UW-Madison
Citations & Impact
Citations
936
H-index
9
i10-index
7
Publications
20
Co-authors
13
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published 6 first-author and 4 second-author papers during PhD, with 3 US patents granted. Notable publications include: TMO: Transparent Memory Offloading in Datacenters (ASPLOS, 2022); Ghost routers: energy-efficient asymmetric multicore processors with symmetric NoCs (NOCS, 2019); DUANG: Fast and lightweight page migration in asymmetric memory systems (HPCA, 2016); Workload-Aware Optimal Power Allocation on Single-Chip Heterogeneous Processors (TPDS, 2016); Alloy: Parallel-Serial Memory Channel Architecture for Single-Chip Heterogeneous Processor Systems (HPCA, 2015); Memory Scheduling Toward High-Throughput Cooperative Heterogeneous Computing (incomplete title).
Research Experience
- Performance & Capacity Engineer at Facebook/Meta, Oct 2019 - Present; CPU/SoC Performance Architect at Hygon Austin R&D Center, Oct 2017 - Sep 2019, worked on building the performance model for AMD Zen1, architected data prefetcher, and designed a pointer engine to capture memory access patterns; CPU Performance Architect at Samsung Austin R&D Center, Jun 2015 - Oct 2017, involved in 4 generations of Exynos mobile CPU design, focusing on memory system (LS/PF/MMU/L2) cycle-accurate performance modeling and analysis.
Education
- PhD in Computer Architecture from the University of Wisconsin-Madison in 2015, under the supervision of Prof. Nam Sung Kim; B.S. in MicroElectronics from Peking University in 2010.
Background
- A Performance & Capacity Engineer at Facebook/Meta, working on defining the hardware roadmap for CPU, memory, accelerators, and storage, building hardware solutions, and evaluating next-gen hardware products. Before joining Facebook in Oct 2019, spent over 5 years at Samsung working on ARM CPU core design for high-end Exynos SoCs and at Hygon working on x86 CPU core & SoC for the server & HPC market in China.
