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diff --git a/graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_norm.json b/graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_norm.json index 27cc0ab5..f89b0eec 100644 --- a/graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_norm.json +++ b/graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_norm.json @@ -1 +1 @@ -[[10679, 0.4318497074999925], [10684, 0.42864172899999176], [10687, 0.42948668399995427], [10698, 0.43197199249999585], [10705, 0.4243944414999987], [10707, 0.4279479890000175], [10722, 0.428348245499933], [10724, 0.43556250299997146], [10756, 0.4325403815000186], [10760, 0.4334738750000042], [10763, 0.43790526649999606], [10769, 0.4259778009999593], 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"machine": "F8s_v2", "num_cpu": "8", "os": "ubuntu-18.04", "ram": "16GB", "python": "3.6", "branch": "master"}, {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "python": "3.8", "branch": "master", "num_cpu": null}, {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "python": "3.10", "branch": "master", "num_cpu": null}], "benchmarks": {"acoustic.IsotropicAcoustic.time_forward": {"code": "class IsotropicAcoustic:\n def time_forward(self, shape, space_order):\n self.solver.forward(x0_blk0_size=IsotropicAcoustic.x0_blk0_size,\n y0_blk0_size=IsotropicAcoustic.y0_blk0_size,\n time_M=50)\n\n def setup(self, shape, space_order):\n self.solver = acoustic_setup(shape=shape, space_order=space_order,\n opt=('advanced', {'openmp': True}))", "min_run_count": 2, "name": "acoustic.IsotropicAcoustic.time_forward", "number": 0, "param_names": ["shape", "space_order"], "params": [["(492, 492, 492)"], ["12"]], "repeat": 3, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "f8ca35d4df15942c3d0503d30af68493596ed84c3960fc10c4d50b767e79196f", "warmup_time": -1}, "arguments.Processing.time_processing": {"code": "class Processing:\n def time_processing(self):\n self.op.arguments(time_M=98)\n\n def setup(self):\n grid = Grid(shape=(5, 5, 5))\n \n funcs = [Function(name='f%d' % n, grid=grid) for n in range(30)]\n tfuncs = [TimeFunction(name='u%d' % n, grid=grid) for n in range(30)]\n stfuncs = [SparseTimeFunction(name='su%d' % n, grid=grid, npoint=1, nt=100)\n for n in range(30)]\n v = TimeFunction(name='v', grid=grid, space_order=2)\n \n eq = Eq(v.forward, v.laplace + sum(funcs) + sum(tfuncs) + sum(stfuncs),\n subdomain=grid.interior)\n \n self.op = Operator(eq, opt='noop')\n \n # Allocate data, populate cached properties, etc.\n self.op.arguments(time_M=98)", "min_run_count": 2, "name": "arguments.Processing.time_processing", "number": 0, "param_names": [], "params": [], "repeat": 10, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "5c7e2bf7664e8e05e93bf30259bae2cfeb172ba770526c14b2c8558dccf3bde1", "warmup_time": -1}, "codegen.TTI.time_adjoint": {"code": "class TTI:\n def time_adjoint(self):\n self.solver.op_adj()\n\n def setup(self):\n self.solver = tti_setup(space_order=TTI.space_order)", "min_run_count": 2, "name": "codegen.TTI.time_adjoint", "number": 0, "param_names": [], "params": [], "repeat": 1, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "792c265ef3a829b1d897ea464b5694e2b3529736fd92aedcb7713714b6aad671", "warmup_time": -1}, "codegen.TTI.time_forward": {"code": "class TTI:\n def time_forward(self):\n self.solver.op_fwd()\n\n def setup(self):\n self.solver = tti_setup(space_order=TTI.space_order)", "min_run_count": 2, "name": "codegen.TTI.time_forward", "number": 0, "param_names": [], "params": [], "repeat": 1, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "2edfcba3adca42090ac1dc38625050a7c78bad56fe1b3a4e24b71957ffc758a5", "warmup_time": -1}, "simple_operators.time_basic": {"code": "def time_basic():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid)\n\n op = Operator(Eq(f.forward, f + 1))\n\n op.apply(time_M=100)", "min_run_count": 2, "name": "simple_operators.time_basic", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "19da0630eea256a3d1f0809a124e82601ddb1967a7c8719ea5886f0ab6d6708f", "warmup_time": -1}, "simple_operators.time_gaussian_smoother": {"code": "def time_gaussian_smoother():\n grid = Grid(shape=(400, 400, 400))\n\n f = Function(name='f', grid=grid, space_order=12)\n\n gaussian_smooth(f, sigma=0.5)", "min_run_count": 2, "name": "simple_operators.time_gaussian_smoother", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "7abb634ac37c967e173f4450f9dc1090a382e2bc61d798a300ce63502b4c9866", "warmup_time": -1}, "simple_operators.time_laplacian": {"code": "def time_laplacian():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid, space_order=2)\n\n op = Operator(Eq(f.forward, 1e-8*(f.laplace + 1)))\n\n op.apply(time_M=100)", "min_run_count": 2, "name": "simple_operators.time_laplacian", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "c4d5e7a640a02bc53f2cb9d04a424c0bdc8f5b45d1e171c987c80c8e5c9066f9", "warmup_time": -1}, "simple_operators.time_norm": {"code": "def time_norm():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid, space_order=2)\n\n norm(f)", "min_run_count": 2, "name": "simple_operators.time_norm", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "09ab2f25734f0c8be412feb02f7c5e174c068bee3b0b7fcaddc93351240eae29", "warmup_time": -1}}, "machines": {"F8s_v2": {"arch": "x86-64", "cpu": "IntelXeon8168", "machine": "F8s_v2", "num_cpu": "8", "os": "ubuntu-18.04", "ram": "16GB", "version": 1}, "i7-6700K": {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "version": 1}}, "tags": {"3.0.1": 2094, "dft-paper": 4705, "v2.0.1": 1231, "v3.0.0": 1939, "v3.0.2": 2174, "v3.0.3": 2730, "v3.1.0": 3067, "v3.2-beta": 3933, "v3.2.0": 4428, "v3.3": 5570, "v3.4": 6447, "v3.5": 8296, "v4.0": 8932, "v4.1": 9600, "v4.2": 10411, "v4.2.1": 10632, "v4.2.2": 10909, "v4.2.3": 11416, "v4.3": 12229, "v4.3-beta": 12223, "v4.4": 12772, "v4.5": 13305, "v4.6": 13573, "v4.6.1": 13955, "v4.6.2": 14040, "v4.7.0": 14856, "v4.7.1": 14859, "v4.8.0": 15503, "v4.8.1": 15733, "v4.8.2": 16494, "v4.8.3": 16834}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]} \ No newline at end of file +{"project": "devito", "project_url": "http://devitoproject.org/", "show_commit_url": "http://github.com/devitocodes/devito/commit/", "hash_length": 8, "revision_to_hash": {"1231": "7d152b0de10cccf3ef97fafba29cb6ade5dc3cdf", "1939": "e8da8ef68ec7c7f723832602e9c41fca47bc2e45", "2094": "dc75e38303b369e3dfd409302b048cbf948cab85", "2174": "d044efc2cbf589804d9944ea24c88f85502b3a47", "2730": "c98ac370cbdc0e7a18ae471f9864657ec306c86a", "3067": "be3a4516b3fc8d83880243228c31a253f704f7d9", "3933": "2792096105203bc5af1631a7882465355ba1ad2f", "4428": "12126fcc059cf84e5e9c137082603e9ac85dd60e", "4705": "932c067df4b25ad748c617e3a09fc0c7d57469df", "5570": "643a9143074ddffc0a51c775ef29ac1d79e42e98", "6447": "53bf802a3ba8e4aa1d22717203235923f1540ee8", "8296": "f6129286d9c0b3a8bfe07e724ac5b00dc762efee", "8932": 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1700572748000, "17085": 1700584292000, "17092": 1700597919000, "17153": 1701711039000}, "params": {"arch": ["x86-64"], "cpu": ["IntelXeon8168", "i7-6700K"], "machine": ["F8s_v2", "i7-6700K"], "num_cpu": ["8", null], "os": ["ubuntu-18.04", "ubuntu-20.10"], "ram": ["16GB"], "python": ["3.10", "3.6", "3.8"], "branch": ["master"]}, "graph_param_list": [{"arch": "x86-64", "cpu": "IntelXeon8168", "machine": "F8s_v2", "num_cpu": "8", "os": "ubuntu-18.04", "ram": "16GB", "python": "3.6", "branch": "master"}, {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "python": "3.8", "branch": "master", "num_cpu": null}, {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "python": "3.10", "branch": "master", "num_cpu": null}], "benchmarks": {"acoustic.IsotropicAcoustic.time_forward": {"code": "class IsotropicAcoustic:\n def time_forward(self, shape, space_order):\n self.solver.forward(x0_blk0_size=IsotropicAcoustic.x0_blk0_size,\n y0_blk0_size=IsotropicAcoustic.y0_blk0_size,\n time_M=50)\n\n def setup(self, shape, space_order):\n self.solver = acoustic_setup(shape=shape, space_order=space_order,\n opt=('advanced', {'openmp': True}))", "min_run_count": 2, "name": "acoustic.IsotropicAcoustic.time_forward", "number": 0, "param_names": ["shape", "space_order"], "params": [["(492, 492, 492)"], ["12"]], "repeat": 3, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "f8ca35d4df15942c3d0503d30af68493596ed84c3960fc10c4d50b767e79196f", "warmup_time": -1}, "arguments.Processing.time_processing": {"code": "class Processing:\n def time_processing(self):\n self.op.arguments(time_M=98)\n\n def setup(self):\n grid = Grid(shape=(5, 5, 5))\n \n funcs = [Function(name='f%d' % n, grid=grid) for n in range(30)]\n tfuncs = [TimeFunction(name='u%d' % n, grid=grid) for n in range(30)]\n stfuncs = [SparseTimeFunction(name='su%d' % n, grid=grid, npoint=1, nt=100)\n for n in range(30)]\n v = TimeFunction(name='v', grid=grid, space_order=2)\n \n eq = Eq(v.forward, v.laplace + sum(funcs) + sum(tfuncs) + sum(stfuncs),\n subdomain=grid.interior)\n \n self.op = Operator(eq, opt='noop')\n \n # Allocate data, populate cached properties, etc.\n self.op.arguments(time_M=98)", "min_run_count": 2, "name": "arguments.Processing.time_processing", "number": 0, "param_names": [], "params": [], "repeat": 10, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "5c7e2bf7664e8e05e93bf30259bae2cfeb172ba770526c14b2c8558dccf3bde1", "warmup_time": -1}, "codegen.TTI.time_adjoint": {"code": "class TTI:\n def time_adjoint(self):\n self.solver.op_adj()\n\n def setup(self):\n self.solver = tti_setup(space_order=TTI.space_order)", "min_run_count": 2, "name": "codegen.TTI.time_adjoint", "number": 0, "param_names": [], "params": [], "repeat": 1, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "792c265ef3a829b1d897ea464b5694e2b3529736fd92aedcb7713714b6aad671", "warmup_time": -1}, "codegen.TTI.time_forward": {"code": "class TTI:\n def time_forward(self):\n self.solver.op_fwd()\n\n def setup(self):\n self.solver = tti_setup(space_order=TTI.space_order)", "min_run_count": 2, "name": "codegen.TTI.time_forward", "number": 0, "param_names": [], "params": [], "repeat": 1, "rounds": 2, "sample_time": 0.01, "timeout": 600.0, "type": "time", "unit": "seconds", "version": "2edfcba3adca42090ac1dc38625050a7c78bad56fe1b3a4e24b71957ffc758a5", "warmup_time": -1}, "simple_operators.time_basic": {"code": "def time_basic():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid)\n\n op = Operator(Eq(f.forward, f + 1))\n\n op.apply(time_M=100)", "min_run_count": 2, "name": "simple_operators.time_basic", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "19da0630eea256a3d1f0809a124e82601ddb1967a7c8719ea5886f0ab6d6708f", "warmup_time": -1}, "simple_operators.time_gaussian_smoother": {"code": "def time_gaussian_smoother():\n grid = Grid(shape=(400, 400, 400))\n\n f = Function(name='f', grid=grid, space_order=12)\n\n gaussian_smooth(f, sigma=0.5)", "min_run_count": 2, "name": "simple_operators.time_gaussian_smoother", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "7abb634ac37c967e173f4450f9dc1090a382e2bc61d798a300ce63502b4c9866", "warmup_time": -1}, "simple_operators.time_laplacian": {"code": "def time_laplacian():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid, space_order=2)\n\n op = Operator(Eq(f.forward, 1e-8*(f.laplace + 1)))\n\n op.apply(time_M=100)", "min_run_count": 2, "name": "simple_operators.time_laplacian", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "c4d5e7a640a02bc53f2cb9d04a424c0bdc8f5b45d1e171c987c80c8e5c9066f9", "warmup_time": -1}, "simple_operators.time_norm": {"code": "def time_norm():\n grid = Grid(shape=(400, 400, 400))\n\n f = TimeFunction(name='f', grid=grid, space_order=2)\n\n norm(f)", "min_run_count": 2, "name": "simple_operators.time_norm", "number": 0, "param_names": [], "params": [], "repeat": 3, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "09ab2f25734f0c8be412feb02f7c5e174c068bee3b0b7fcaddc93351240eae29", "warmup_time": -1}}, "machines": {"F8s_v2": {"arch": "x86-64", "cpu": "IntelXeon8168", "machine": "F8s_v2", "num_cpu": "8", "os": "ubuntu-18.04", "ram": "16GB", "version": 1}, "i7-6700K": {"arch": "x86-64", "cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "ram": "16GB", "version": 1}}, "tags": {"3.0.1": 2094, "dft-paper": 4705, "v2.0.1": 1231, "v3.0.0": 1939, "v3.0.2": 2174, "v3.0.3": 2730, "v3.1.0": 3067, "v3.2-beta": 3933, "v3.2.0": 4428, "v3.3": 5570, "v3.4": 6447, "v3.5": 8296, "v4.0": 8932, "v4.1": 9596, "v4.2": 10407, "v4.2.1": 10628, "v4.2.2": 10905, "v4.2.3": 11412, "v4.3": 12225, "v4.3-beta": 12219, "v4.4": 12768, "v4.5": 13301, "v4.6": 13569, "v4.6.1": 13951, "v4.6.2": 14036, "v4.7.0": 14852, "v4.7.1": 14855, "v4.8.0": 15499, "v4.8.1": 15729, "v4.8.2": 16454, "v4.8.3": 16791}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]} \ No newline at end of file diff --git a/info.json b/info.json index 910584cf..8ef1cf39 100644 --- a/info.json +++ b/info.json @@ -1,4 +1,4 @@ { "asv-version": "0.6.1", - "timestamp": 1700598357466 + "timestamp": 1701711516314 } \ No newline at end of file diff --git a/regressions.json b/regressions.json index 3550bef2..d18919ab 100644 --- a/regressions.json +++ b/regressions.json @@ -1 +1 @@ -{"regressions": [["simple_operators.time_laplacian", "graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_laplacian.json", {"cpu": "IntelXeon8168", "machine": "F8s_v2", "os": "ubuntu-18.04", "python": "3.6"}, null, 1.8845442179999736, 1.7240304369999535, [[null, 11115, 1.7240304369999535, 1.8845442179999736]]], ["simple_operators.time_basic", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/simple_operators.time_basic.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, null, 3.1585280495346524, 2.3438053430290893, [[14837, 14844, 2.3438053430290893, 3.1585280495346524]]], ["codegen.TTI.time_forward", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/codegen.TTI.time_forward.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": 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"graphs/arch-x86-64/branch-master/cpu-IntelXeon8168/machine-F8s_v2/num_cpu-8/os-ubuntu-18.04/python-3.6/ram-16GB/simple_operators.time_laplacian.json", {"cpu": "IntelXeon8168", "machine": "F8s_v2", "os": "ubuntu-18.04", "python": "3.6"}, null, 1.8845442179999736, 1.7240304369999535, [[null, 11111, 1.7240304369999535, 1.8845442179999736]]], ["simple_operators.time_basic", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/simple_operators.time_basic.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, null, 3.1585280495346524, 2.3438053430290893, [[14833, 14840, 2.3438053430290893, 3.1585280495346524]]], ["codegen.TTI.time_forward", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/codegen.TTI.time_forward.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, null, 8.064504546500757, 6.061072713579051, [[null, 14549, 6.323794414056465, 6.769503338495269], [null, 14804, 6.769503338495269, 8.064504546500757]]], ["simple_operators.time_laplacian", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/simple_operators.time_laplacian.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, null, 3.42697244201554, 2.517146586003946, [[14833, 14840, 2.552551290486008, 3.42697244201554]]], ["arguments.Processing.time_processing", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/arguments.Processing.time_processing.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, null, 0.008883330247044796, 0.00735865073511377, [[14833, 14840, 0.00735865073511377, 0.007777019003697205], [null, 15045, 0.008057956234551966, 0.008883330247044796]]], ["acoustic.IsotropicAcoustic.time_forward((492, 492, 492), 12)", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.8/ram-16GB/acoustic.IsotropicAcoustic.time_forward.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.8"}, 0, 10.862883266061544, 8.558000238495879, [[14833, 14840, 8.833523570559919, 10.862883266061544]]], ["arguments.Processing.time_processing", "graphs/arch-x86-64/branch-master/cpu-i7-6700K/machine-i7-6700K/num_cpu-null/os-ubuntu-20.10/python-3.10/ram-16GB/arguments.Processing.time_processing.json", {"cpu": "i7-6700K", "machine": "i7-6700K", "os": "ubuntu-20.10", "python": "3.10"}, null, 0.01051844540052116, 0.00877705926541239, [[null, 17043, 0.00877705926541239, 0.01051844540052116]]]]} \ No newline at end of file diff --git a/regressions.xml b/regressions.xml index 68e26c2e..3c9f9217 100644 --- a/regressions.xml +++ b/regressions.xml @@ -1,7 +1,7 @@ -tag:devito.asv,1970-01-01:/835dd1818c43113e643ad91f60561888f82e4ba74b4f7db69ae6fdb18d297dbcAirspeed Velocitydevito performance regressions2023-11-15T13:31:28Ztag:devito.asv,2023-11-15:/025c6b5eb1f6ffb3ebbb5ccff2d13f480e6831f8818b46173d5015e1eb139cc719.83% arguments.Processing.time_processing2023-11-15T13:31:28Z<a href="index.html#arguments.Processing.time_processing?cpu=i7-6700K&machine=i7-6700K&os=ubuntu-20.10&python=3.10&commits=d0cd3544918310af60fb7d4a902e6d870a23a65d">19.83% regression</a> on 2023-11-15 13:26:07 in commit <a href="http://github.com/devitocodes/devito/commit/d0cd3544918310af60fb7d4a902e6d870a23a65d">d0cd3544</a>.<br> +tag:devito.asv,1970-01-01:/835dd1818c43113e643ad91f60561888f82e4ba74b4f7db69ae6fdb18d297dbcAirspeed Velocitydevito performance regressions2023-11-15T13:31:28Ztag:devito.asv,2023-11-15:/025c6b5eb1f6ffb3ebbb5ccff2d13f480e6831f8818b46173d5015e1eb139cc719.84% arguments.Processing.time_processing2023-11-15T13:31:28Z<a href="index.html#arguments.Processing.time_processing?cpu=i7-6700K&machine=i7-6700K&os=ubuntu-20.10&python=3.10&commits=d0cd3544918310af60fb7d4a902e6d870a23a65d">19.84% regression</a> on 2023-11-15 13:26:07 in commit <a href="http://github.com/devitocodes/devito/commit/d0cd3544918310af60fb7d4a902e6d870a23a65d">d0cd3544</a>.<br> New value: 10.5ms, old value: 8.78ms.<br> - Latest value: 10.5ms (19.83% worse + Latest value: 10.5ms (19.84% worse than best value 8.78ms).tag:devito.asv,2022-10-07:/a964436b8f7027ecf9d6ba11850fdad60c22c28a703df76ca9397d30fb18cab910.24% arguments.Processing.time_processing2022-10-07T09:01:53Z<a href="index.html#arguments.Processing.time_processing?cpu=i7-6700K&machine=i7-6700K&os=ubuntu-20.10&python=3.8&commits=88bb3c7142f81df2e43a3e6db948f82fdf5cb817">10.24% regression</a> on 2022-10-07 08:32:36 in commit <a href="http://github.com/devitocodes/devito/commit/88bb3c7142f81df2e43a3e6db948f82fdf5cb817">88bb3c71</a>.<br> New value: 8.88ms, old value: 8.06ms.<br> Latest value: 8.88ms (20.72% worse