Recent & Upcoming Talks

2019

Fall 2019 Applied Math Colloquium, NJIT: Solving Global Grand Challenges with High Performance Data Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

NYU CS Invited Talk: Solving Global Grand Challenges with High Performance Data Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

EAS 2019 Keynote Talk: 'Carnac the Magnificent' in the Age of High Performance Data Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

Fall 2019 Distinguished Speaker Series, Department of Computer and Information Science, University of Delaware, Massive-scale Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

Fall 2019 Colloquium, Department of Computer and Information Science, Temple University, Massive-scale Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

Facebook AI Systems Faculty Summit: Scalable Graph Learning Algorithms

Deep learning has boosted the machine learning field at large and created significant increases in the performance of tasks including …

PPAM 2019 Keynote Talk: Massive-scale Analytics

Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community …

GOMACTech 2019 Keynote Talk: Predictive Analytics from Massive Streaming Data

In this emerging era of analytics, nearly every government and industry sector envisions superiority by real-time decision making from …

2018

GraphConnect 2018: Predictive Analysis from Massive Knowledge Graphs on Neo4j

Prof. David Bader, one of the nation’s leading experts in massive-scale graph analytics, presents a Neo4j case study on predictive …

SPAA 2018 Keynote Talk: Massive-Scale Streaming Analytics: Models, Parallelsim, and Real-World Applications

Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in …

PASC 2018 Keynote Talk: Massive-Scale Analytics Applied to Real-World Problems

Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in …

Lehigh University 125th Anniversary of EE, Keynote Talk: Massive-Scale Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

Flaherty Lecture Series: Massive-Scale Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

2017

ICMLDS 2017 Keynote Talk: Massive-scale Streaming Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

HPEC 2017 Invited Talk: Massive-Scale Streaming Analytics

SIAM CSE 2017 Invited Panelist: Forward Looking Panel

This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may …

2016

CLSAC 2016 Invited Talk: Massive-Scale Streaming Analytics

Building on last year’s theme of Productive Analytics, the fifth CLSAC workshop will address the need for large-scale streaming …

GABB 2016 Keynote Talk: Massive-scale Streaming Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

MNG 2016 Invited Talk: Massive-Scale Streaming Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

2015

NITRD 2015 Invited Panelist: Supercomputing and Big Data: From Collision to Convergence

Supercomputing and Big Data: From Collision to Convergence As data intensive science emerges, the need for high performance computing …

PPAM 2015 Keynote Talk: Massive-Scale Graph Analytics

ParLearning 2015 Keynote Talk: Massive-scale Streaming Analytics

Triangle Computer Science Distinguished Lecturer Series: Massive-scale Streaming Analytics

Emerging real-world graph problems include: detecting community structure in large social networks; improving the resilience of the …

2014

HiPC 2014 Keynote Talk: Massive-scale Streaming Analytics

2013

SC13 Invited Talk: Gathering Intelligence with Massive Graphs

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

2012

Booz Allen Hamilton Distinguished Colloquium in Electrical and Computer Engineering, University of Maryland: Opportunities and Challenges in Massive Data-Intensive Computing

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

Algoritmy 2012 Invited Talk: Massive-scale Graph Analytics

HCW 2012 Keynote Talk: Analyzing Massive Data on Heterogeneous Computing

Brief Biography David A. Bader is a Full Professor in the School of Computational Science and Engineering, College of Computing, at …

UC Berkeley, Invited Talk: Opportunities and Challenges in Massive Data-Intensive Computing

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

University of Delaware Distinguished Lecture: Opportunities and Challenges in Massive Data-Intensive Computing

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

2011

NSF Workshop Keynote Talk: Opportunities and Challenges in Massive Data-Intensive Computing

SOS11 Invited Talk: Petascale Science and Engineering: Georgia Tech’s Leadership in the Manyscale™ Transformation

Whether petascale computing can be sustained into the future; or whether power, space, and cost will restrict the number of sites …

IBM Research Keynote Talk: Opportunities and Challenges in Massive Data-Intensive Computing

2010

Colorado State ISTeC Distinguished Lecture: Petascale Computing for Computational Biology and Genomics

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

EIHECS6 Keynote Talk: Massive Scale Analytics of Streaming Social Networks

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

Keynote Talk: Analyzing Massive Social Networks using Multicore and Multithreaded Architectures

Emerging real-world graph problems include detecting community structure in large social networks, improving the resilience of the …

2009

STI Cell Keynote Talk: Accelerating Scientific Computing with the Cell Broadband Engine Processor

The STI Cell Broadband Engine (Cell BE) has shown the potential to provide outstanding performance, scalability, and flexibility in …

2008

CDC Keynote Talk: Petascale Phylogenetic Reconstruction of Evolutionary Histories

LACSS 2008 Keynote Talk: Accelerators, Cell Broadband Engine, Graphics Processors, and FPGAs

While we are still witnessing Moore's Law by the steady production of chips that mass billions of transistors, clearly we have reached …

3rd HPC Day at Lehigh University, Keynote Talk: Petascale Phylogenetic Reconstruction of Evolutionary Histories

Computational science enables us to investigate phenomena where economics or constraints preclude experimentation, evaluate complex …

MuCoCoS 2008 Keynote Talk: Petascale Computing for Large-Scale Graph Problems

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

Universitat Politècnica de Catalunya HPC Seminar: Petascale Computing for Large-Scale Graph Problems

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

2007

PPAM 2007 Keynote Talk: Petascale Computing for Large-Scale Graph Problems

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

PDSEC07 Keynote Talk: Petascale Computing for Large-Scale Graph Problems

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

DIMACS Keynote Talk: Solving Massive Graph Problems using Petascale Computing

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

2006

DIMACS Invited Talk: Solving Massive Graph Problems using Petascale Computing

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

HPCC 2006 Keynote Talk: Petascale Computing for Large-Scale Graph Problems

Graph theoretic problems are representative of fundamental kernels in traditional and emerging computational sciences such as …

2005

WEA05 Keynote Talk: High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology

Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on …

2002

WMPP 2002 Keynote Talk: Massively Parallel Processing for Computational Genomics: Reconstructing Evolutionary Trees from Gene-Order Data

Phylogenies derived from gene order data may prove crucial in answering some fundamental questions in biomolecular evolution. Yet very …

2001

HIPC 2001 Keynote Talk: Using PRAM Algorithms on a Uniform Memory Access Shared-Memory Architecture

Shared-memory architectures with uniform memory access come very close to the PRAM, the theoretical model of parallel computing, and …

2000

IBM SP SCICOMP 2000 Invited Talk: Designing High-Performance Algorithms for SMP Clusters

A fundamental problem in high-performance computing is to design high-level, architecture independent, algorithms that execute …

1996

CATS Invited Talk: Practical Parallel Algorithms for Personalized Communication and Integer Sorting

A fundamental challenge for parallel computing is to obtain high-level, architecture independent, algorithms which execute efficiently …