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We present the first open release of the DCA++ project, a high-performanceresearch software framework to solve quantum many-body problems with cuttingedge quantum cluster algorithms. DCA++ implements the dynamical clusterapproximation (DCA) and its DCA$^+$ extension with a continuous self-energy.The algorithms capture nonlocal correlations in strongly correlated electronsystems, thereby giving insight into high-$T_c$ superconductivity. The code'sscalability allows efficient usage of systems at all scales, from workstationsto leadership computers. With regard to the increasing heterogeneity of moderncomputing machines, DCA++ provides portable performance on conventional andemerging new architectures, such as hybrid CPU-GPU, sustaining multiplepetaflops on ORNL's Titan and CSCS' Piz Daint supercomputers. Moreover, we showhow sustainable and scalable development of the code base has been achieved byadopting standard techniques of the software industry. These include employinga distributed version control system, applying test-driven development andfollowing continuous integration.

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods