DOE BlueStone: Program Translation and Synthesis for Extremely Heterogeneous Architectures
DE-FOA-0002460, X-Stack: Programming Environments for Scientific Computing
Franz Franchetti (Carnegie Mellon University, PI)
Tze Meng Low (Carnegie Mellon University, Co-PI)

Intel/VMWare Crossroads (XRD) (entry under construction)

DARPA DPRIVE (entry under construction)

Towards FFTX and SpectralPACK* (DOE FFTX)
DE-AC02-05CH11231
Franz Franchetti (Carnegie Mellon University, PI)
Mike Franusich (SpiralGen, Inc, Co-PI)
Phillip Colella (Lawrence Berkeley National Laboratory, PI)
Brian Van Straalen (Lawrence Berkeley National Laboratory, Co-PI)

FFTX and SpectralPack: A First Look
FFTX Documentation
SPIRAL, FFTX, and the Path to SpectralPACK
Supporting Research:
An Approach to Specifying and Automatically Optimizing Fourier Transform Based Operations
For more information, visit the spiral.net FFTX page.

*This research was supported by the Exascale Computing Project (17-SC-20-SC), a joint project of the U.S. Department of Energy’s Office of Science and National Nuclear Security Administration, responsible for delivering a capable exascale ecosystem, including software, applications, and hardware technology, to support the nation’s exascale computing imperative.

Spiral/AAIML: Co-Optimization for High Performance, Data Intensive Computing in Resource Constrained Environments
Carnegie Mellon Software Engineering Institute (SEI)
Scott McMillan (PI), Franz Franchetti (Co-PI), Tze Meng Low (Co-PI), James C. Hoe (Co-PI)

FFTX: A Co-Design Project for Fast Fourier Transforms (FFTs)
Franz Franchetti (PI), Tze Meng Low (Co-PI)

SPIRAL for Quantum Computing
Jason Larkin (Carnegie Mellon Software Engineering Institute), Scott Mionis (MS Student, CMU Computer Science Department), Franz Franchetti

Related Seminars:
Franz Franchetti
SPIRAL: AI for High Performance Code with a Side of FFTX
MIT Fast Code Seminars, September 21, 2020