Presenter
Torsten Hoefler
Biography
Torsten is an Associate Professor of Computer Science at ETH Zürich, Switzerland. Before joining ETH, he led the performance modeling and simulation efforts of parallel petascale applications for the NSF-funded Blue Waters project at NCSA/UIUC. He is also a key member of the Message Passing Interface (MPI) Forum where he chairs the "Collective Operations and Topologies" working group. Torsten won best paper awards at the ACM/IEEE Supercomputing Conference SC10, SC13, SC14, EuroMPI'13, HPDC'15, HPDC'16, IPDPS'15, and other conferences. He published numerous peer-reviewed scientific conference and journal articles and authored chapters of the MPI-2.2 and MPI-3.0 standards. He received the Latsis prize of ETH Zurich as well as an ERC starting grant in 2015. His research interests revolve around the central topic of "Performance-centric System Design" and include scalable networks, parallel programming techniques, and performance modeling. Additional information about Torsten can be found on his homepage at htor.inf.ethz.ch.
Presentations
ACM Gordon Bell Finalist
Awards Presentation
TP
Tutorial
FPGA
Parallel Programming Languages, Libraries, and Models
TUT
Paper
Accelerators
Heterogeneous Systems
Performance
Portability
Simulation
Task-based programming
TP
Workshop
Machine Learning
W
Workshop
Accelerators
Compilers
FPGA
Quantum Computing
Reconfigurable Computing
W
Workshop
Accelerators
Compilers
FPGA
Quantum Computing
Reconfigurable Computing
W
Paper
Algorithms
Data Compression
Data Management
Graph Algorithms
I/O
Memory
Parallel Application Frameworks
Performance
TP
BP Finalist
BSP Finalist
Workshop
Accelerators
Compilers
FPGA
Quantum Computing
Reconfigurable Computing
W
Paper
Algorithms
I/O
Linear Algebra
Parallel Programming Languages, Libraries, and Models
Performance
Task-based programming
TP
BP Finalist
BSP Finalist
Paper
Accelerators
Heterogeneous Systems
Performance
Portability
Simulation
Task-based programming
TP
Paper
Algorithms
Networks
Performance
TP
Paper
Algorithms
Benchmarks
Deep Learning
Machine Learning
Parallel Programming Languages, Libraries, and Models
Scalable Computing
Sparse Computation
TP
Birds of a Feather
FPGA
Reconfigurable Computing
TP
EX
EXH
Paper
Data Compression
Parallel Programming Languages, Libraries, and Models
Quantum Computing
Scalable Computing
Simulation
TP
Paper
Data Management
GPUs
Memory
Networks
Performance
Software-defined networking
Sparse Computation
TP
Chair of Sessions
Workshop
Accelerators
Compilers
FPGA
Quantum Computing
Reconfigurable Computing
W