Personal Information
Organization / Workplace
San Francisco Bay Area, California United States
Occupation
High-Performance Computing & Distributed Systems for EDA & VLSI Analysis via Numerical Solvers & Machine Learning
Industry
Technology / Software / Internet
Website
zhuangh.github.io
About
I am now a Senior Software Developer at Apache Design (apache-da.com, originally a computer-aided design start-up at Silicon Valley, providing the industrial standard of VLSI chip power sign-off and accquired by ANSYS, Inc.) of ANSYS to commercialize my research at graduate schools. We are dealing with massive data sets (beyond Internet scale) from chips via our in-house distributed MapReduce-like systems. Since 2015, I am building Spark-like internal distributed computation infrastructure, HPC numerical analysis algorithms for big data processing and machine learning systems in ANSYS EDA products, such as RedHawk/RedHawk-SC and SeaScape.
Tags
circuit simulation
circuit simulation; high-performance computing; ma
capacitance extraction
vlsi interconnect
random walk algorithm
matrix exponential
See more
Presentations
(3)Documents
(1)Likes
(36)Compressed Video Quality
Iain Richardson
•
6 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
8 years ago
Recommender Systems In Industry
Xavier Amatriain
•
6 years ago
Running Word2Vec with Chinese Wikipedia dump
Billy Yang
•
8 years ago
Recommending the world's knowledge
Lei Yang
•
7 years ago
Music recommendations @ MLConf 2014
Erik Bernhardsson
•
10 years ago
Jerome bruner learning theory
RN Yogendra Mehta
•
11 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
What's New in ANSYS RedHawk 2014
Ansys
•
9 years ago
ANSYS RedHawk-CPA: New Paradigm for Faster Chip-Package Convergence
Ansys
•
9 years ago
Hacking Conway's Law
Raffi Krikorian
•
8 years ago
A Gentle Introduction to Locality Sensitive Hashing with Apache Spark
François Garillot
•
8 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
Machine Learning to Grow the World's Knowledge
Xavier Amatriain
•
8 years ago
PageRank Centrality of dynamic graph structures
David Gleich
•
9 years ago
Dynamic PageRank using Evolving Teleportation
Ryan Rossi
•
11 years ago
The data model is dead, long live the data model
Patrick McFadin
•
11 years ago
Real data models of silicon valley
Patrick McFadin
•
9 years ago
Advanced data modeling with apache cassandra
Patrick McFadin
•
9 years ago
Understanding How CQL3 Maps to Cassandra's Internal Data Structure
DataStax
•
10 years ago
Tachyon: An Open Source Memory-Centric Distributed Storage System
Tachyon Nexus, Inc.
•
8 years ago
How Parse Built a Mobile Backend as a Service on AWS (MBL307) | AWS re:Invent 2013
Amazon Web Services
•
10 years ago
Simulation Informatics; Analyzing Large Scientific Datasets
David Gleich
•
12 years ago
A history of PageRank from the numerical computing perspective
David Gleich
•
11 years ago
From Zero to a Million Users - Dropbox and Xobni lessons learned
Adam Smith
•
14 years ago
Dropbox Startup Lessons Learned
gueste94e4c
•
14 years ago
Storm: distributed and fault-tolerant realtime computation
nathanmarz
•
12 years ago
PyPy London Demo Evening 2013
Carl Friedrich Bolz
•
10 years ago
淺談編譯器最佳化技術
Kito Cheng
•
9 years ago
Why Dropbox Rocks
junyu
•
13 years ago
Personal Information
Organization / Workplace
San Francisco Bay Area, California United States
Occupation
High-Performance Computing & Distributed Systems for EDA & VLSI Analysis via Numerical Solvers & Machine Learning
Industry
Technology / Software / Internet
Website
zhuangh.github.io
About
I am now a Senior Software Developer at Apache Design (apache-da.com, originally a computer-aided design start-up at Silicon Valley, providing the industrial standard of VLSI chip power sign-off and accquired by ANSYS, Inc.) of ANSYS to commercialize my research at graduate schools. We are dealing with massive data sets (beyond Internet scale) from chips via our in-house distributed MapReduce-like systems. Since 2015, I am building Spark-like internal distributed computation infrastructure, HPC numerical analysis algorithms for big data processing and machine learning systems in ANSYS EDA products, such as RedHawk/RedHawk-SC and SeaScape.
Tags
circuit simulation
circuit simulation; high-performance computing; ma
capacitance extraction
vlsi interconnect
random walk algorithm
matrix exponential
See more