| | Work | Applications/benchmarks |
| | [33] | Mibench and mediabench | | [44] | Automotive-industrial, consumer-networking, telecom, mpeg | | [73] | MD5 password breaking application | | [47] | Monte Carlo simulation of particle transport unstructured implicit finite element method molecular dynamics unstructured shock hydrodynamics | | [30] | Both single-application and multiapplication workloads PARSEC (x264, swaptions, vips, fluidanimate, Black Scholes, bodytrack), Minebench (ScalParC, kmeans, HOP, PLSA, svmfe, btree, kmeans_fuzzy), Rodinia (cfd, nn, lud, particlefilter), Jacobi, swish++, dijkstra | | [48] | CoMD, Lulesh, MP2C | | [34] | NAS parallel benchmarks (NPB) kernel EP, European option pricing benchmark Black Scholes | | [74] | Workload simulated in a scheduling simulator | | [49] | Matrix multiplication + P_write_priv benchmark—an I/O benchmark of IMB package | | [50] | Job models from historical data from HLRS (high-performance computing center Stuttgart) | | [51] | Early evaluation through an application extracted from Drug Discovery code, computation of interatomic distances and overlap of drug molecule, and protein active site probes | | [52] | HPCG, NAS parallel benchmarks, NICAM-DC-MINI (for Post-K Japanese national flagship supercomputer development) | | [53] | For system adaptation experiments: Molecular dynamics simulation (MDS), advance research Weather research and forecasting (WRF-ARW) | | [35] | miniMD (parallel molecular dynamics code), Jacobi—3D stencil computation code | | [54] | Parallel aerospace application PMLB (Lattice Boltzmann), parallel earthquake simulation eq3dyna | | [36] | GEM software—calculation of electrostatic potentials generated by charges within molecules | | [75] | Generation of parity data using GPUs | | [56] | MILC, SWEEP3D, CG, FT, MG, LAMMPS, POP | | [55] | MILC, GTC, SWEEP3D, PSCYEE, LBMHD, NAS parallel benchmarks—intratask scaling, LAMMPS, HYCOM, WRF, POP—intertask scaling | | [37] | Selected MAGMA and Rodinia benchmarks | | [38] | Synthetic sporadic real-time tasks used for evaluation of performance | | [45] | Mega lattice Site updates per Second | | [39] | Virusdetectioncl, NVIDIA CUDA SDK, GP GPU-Sim, Rodinia | | [57] | IOzone, iperf, stream, stress (single node), a set of NPB benchmark (cluster): CG, MG, MDS, WRF-ARW, POP X1 benchmark, GeneHunter | | [14] | NAS OpenMP parallel benchmarks | | [58] | Workload simulated in a scheduling simulator | | [24] | NAS parallel benchmarks (NPB) kernel MG | | [40] | Parallel 2D heat distribution, parallel numerical integration and parallel fast Fourier transform | | [76] | Synthetic application and VM profiles based on real data center logs | | [77] | Simulation of users requesting provisioning of (290) VMs hosting undefined web applications | | [41] | SPEC’2000 benchmark suite [79] | | [59] | NAS class C benchmarks: CG, EP, IS, LU, MG, and SP | | [42] | Dgemm, dgemv, daxpy, Jacobi, LBM, HPCG, XSBench, Stream benchmark | | [60] | OpenBLAS DGEMM, FFTW | | [61] | Jacobi PDE solver, particle-particle simulation based on MP3D from Splash suite, UMT2K from the ASC Purple suite, code operating on unstructured meshes | | [62] | Magnetohydrodynamic (MHD) simulation code | | [63, 64] | Multi-zone NPB benchmarks (LU-MZ, SP-MZ, and BT-MZ) and two benchmarks (AMG and IRS) from the ASC Sequoia benchmark suite | | [65] | NAS benchmark | | [43] | NAS parallel benchmarks (NPB) and Barcelona OpenMP task Suite (BOTS) | | [68] | SPhot from ASC Purple suite, BT-MZ, SP-MZ, and LU-MZ from NAS suite | | [69] | miniFE, miniMD, miniGhost, CloverLeaf, CoMD, Hoomd-Blue, AMG, Sweep3D, LULESH, Graph500 | | [46] | Kernels from various computational domains—dense linear algebra (matrix-matrix, matrix-vector multiplication), stencil computations, linear algebra solvers (LU decomposition), miniGhost, CoMD | | [70] | Lulesh, Wave2D, LeanMD | | [72] | Quantum ESPRESSO, gadget, Seissol, WaLBerla, PMATMUL, STREAM |
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