import math, os, shutil, subprocess import runner from runner import RunnerCore, path_from_root from tools.shared import * # standard arguments for timing: # 0: no runtime, just startup # 1: very little runtime # 2: 0.5 seconds # 3: 1 second # 4: 5 seconds # 5: 10 seconds DEFAULT_ARG = '4' TEST_REPS = 2 CORE_BENCHMARKS = True # core benchmarks vs full regression suite class Benchmarker: def __init__(self, name): self.name = name def bench(self, args, output_parser=None, reps=TEST_REPS): self.times = [] self.reps = reps for i in range(reps): start = time.time() output = self.run(args) if not output_parser: curr = time.time()-start else: curr = output_parser(output) self.times.append(curr) def display(self, baseline=None): if baseline == self: baseline = None mean = sum(self.times)/len(self.times) squared_times = map(lambda x: x*x, self.times) mean_of_squared = sum(squared_times)/len(self.times) std = math.sqrt(mean_of_squared - mean*mean) sorted_times = self.times[:] sorted_times.sort() median = sum(sorted_times[len(sorted_times)/2 - 1:len(sorted_times)/2 + 1])/2 print ' %10s: mean: %4.3f (+-%4.3f) secs median: %4.3f range: %4.3f-%4.3f (noise: %4.3f%%) (%d runs)' % (self.name, mean, std, median, min(self.times), max(self.times), 100*std/mean, self.reps), if baseline: mean_baseline = sum(baseline.times)/len(baseline.times) final = mean / mean_baseline print ' Relative: %.2f X slower' % final else: print class NativeBenchmarker(Benchmarker): def __init__(self, name, cc, cxx, args=['-O2']): self.name = name self.cc = cc self.cxx = cxx self.args = args def build(self, parent, filename, args, shared_args, emcc_args, native_args, native_exec, lib_builder): self.parent = parent if lib_builder: native_args = native_args + lib_builder(self.name, native=True, env_init={ 'CC': self.cc, 'CXX': self.cxx }) if not native_exec: compiler = self.cxx if filename.endswith('cpp') else self.cc process = Popen([compiler, '-fno-math-errno', filename, '-o', filename+'.native'] + self.args + shared_args + native_args, stdout=PIPE, stderr=parent.stderr_redirect) output = process.communicate() if process.returncode is not 0: print >> sys.stderr, "Building native executable with command failed" print "Output: " + output[0] else: shutil.copyfile(native_exec, filename + '.native') shutil.copymode(native_exec, filename + '.native') final = os.path.dirname(filename) + os.path.sep + self.name+'_' + os.path.basename(filename) + '.native' shutil.move(filename + '.native', final) self.filename = final def run(self, args): process = Popen([self.filename] + args, stdout=PIPE, stderr=PIPE) return process.communicate()[0] class JSBenchmarker(Benchmarker): def __init__(self, name, engine, extra_args=[], env={}): self.name = name self.engine = engine self.extra_args = extra_args self.env = os.environ.copy() for k, v in env.iteritems(): self.env[k] = v def build(self, parent, filename, args, shared_args, emcc_args, native_args, native_exec, lib_builder): self.filename = filename llvm_root = self.env.get('LLVM') or LLVM_ROOT if lib_builder: emcc_args = emcc_args + lib_builder('js_' + llvm_root, native=False, env_init=self.env) open('hardcode.py', 'w').write(''' def process(filename): js = open(filename).read() replaced = js.replace("run();", "run(%s.concat(Module[\\"arguments\\"]));") assert js != replaced open(filename, 'w').write(replaced) import sys process(sys.argv[1]) ''' % str(args[:-1]) # do not hardcode in the last argument, the default arg ) final = os.path.dirname(filename) + os.path.sep + self.name+'_' + os.path.basename(filename) + '.js' try_delete(final) output = Popen([PYTHON, EMCC, filename, #'-O3', '-O3', '-s', 'DOUBLE_MODE=0', '-s', 'PRECISE_I64_MATH=0', '--memory-init-file', '0', '--js-transform', 'python hardcode.py', '-s', 'TOTAL_MEMORY=128*1024*1024', #'-profiling', '-o', final] + shared_args + emcc_args + self.extra_args, stdout=PIPE, stderr=PIPE, env=self.env).communicate() assert os.path.exists(final), 'Failed to compile file: ' + output[0] self.filename = final def run(self, args): return run_js(self.filename, engine=self.engine, args=args, stderr=PIPE, full_output=True) # Benchmarkers try: benchmarkers_error = '' benchmarkers = [ #NativeBenchmarker('clang', CLANG_CC, CLANG), NativeBenchmarker('clang-3.2', os.path.join(LLVM_3_2, 'clang'), os.path.join(LLVM_3_2, 'clang++')), #NativeBenchmarker('clang-3.2-O3', os.path.join(LLVM_3_2, 'clang'), os.path.join(LLVM_3_2, 'clang++'), ['-O3']), #NativeBenchmarker('clang-3.3', os.path.join(LLVM_3_3, 'clang'), os.path.join(LLVM_3_3, 'clang++')), #NativeBenchmarker('clang-3.4', os.path.join(LLVM_3_4, 'clang'), os.path.join(LLVM_3_4, 'clang++')), #NativeBenchmarker('gcc', 'gcc', 'g++'), JSBenchmarker('sm-f32', SPIDERMONKEY_ENGINE, ['-s', 'PRECISE_F32=2']), #JSBenchmarker('sm-f32-si', SPIDERMONKEY_ENGINE, ['-profiling', '-s', 'PRECISE_F32=2', '-s', 'SIMPLIFY_IFS=1']), #JSBenchmarker('sm-f32-aggro', SPIDERMONKEY_ENGINE, ['-s', 'PRECISE_F32=2', '-s', 'AGGRESSIVE_VARIABLE_ELIMINATION=1']), #JSBenchmarker('sm-f32-3.2', SPIDERMONKEY_ENGINE, ['-s', 'PRECISE_F32=2'], env={ 'LLVM': LLVM_3_2 }), #JSBenchmarker('sm-f32-3.3', SPIDERMONKEY_ENGINE, ['-s', 'PRECISE_F32=2'], env={ 'LLVM': LLVM_3_3 }), #JSBenchmarker('sm-f32-3.4', SPIDERMONKEY_ENGINE, ['-s', 'PRECISE_F32=2'], env={ 'LLVM': LLVM_3_4 }), #JSBenchmarker('sm-noasm', SPIDERMONKEY_ENGINE + ['--no-asmjs']), #JSBenchmarker('sm-noasm-f32', SPIDERMONKEY_ENGINE + ['--no-asmjs'], ['-s', 'PRECISE_F32=2']), #JSBenchmarker('v8', V8_ENGINE) ] except Exception, e: benchmarkers_error = str(e) benchmarkers = [] class benchmark(RunnerCore): save_dir = True @classmethod def setUpClass(self): super(benchmark, self).setUpClass() fingerprint = [time.asctime()] try: fingerprint.append('em: ' + Popen(['git', 'show'], stdout=PIPE).communicate()[0].split('\n')[0]) except: pass try: d = os.getcwd() os.chdir(os.path.expanduser('~/Dev/mozilla-central')) fingerprint.append('sm: ' + filter(lambda line: 'changeset' in line, Popen(['hg', 'tip'], stdout=PIPE).communicate()[0].split('\n'))[0]) except: pass finally: os.chdir(d) fingerprint.append('llvm: ' + LLVM_ROOT) print 'Running Emscripten benchmarks... [ %s ]' % ' | '.join(fingerprint) assert(os.path.exists(CLOSURE_COMPILER)) try: index = SPIDERMONKEY_ENGINE.index("options('strict')") SPIDERMONKEY_ENGINE = SPIDERMONKEY_ENGINE[:index-1] + SPIDERMONKEY_ENGINE[index+1:] # closure generates non-strict except: pass Building.COMPILER = CLANG Building.COMPILER_TEST_OPTS = ['-O2'] def do_benchmark(self, name, src, expected_output='FAIL', args=[], emcc_args=[], native_args=[], shared_args=[], force_c=False, reps=TEST_REPS, native_exec=None, output_parser=None, args_processor=None, lib_builder=None): if len(benchmarkers) == 0: raise Exception('error, no benchmarkers: ' + benchmarkers_error) args = args or [DEFAULT_ARG] if args_processor: args = args_processor(args) dirname = self.get_dir() filename = os.path.join(dirname, name + '.c' + ('' if force_c else 'pp')) f = open(filename, 'w') f.write(src) f.close() print for b in benchmarkers: b.build(self, filename, args, shared_args, emcc_args, native_args, native_exec, lib_builder) b.bench(args, output_parser, reps) b.display(benchmarkers[0]) def test_primes(self): src = r''' #include #include int main(int argc, char **argv) { int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: arg = 33000; break; case 2: arg = 130000; break; case 3: arg = 220000; break; case 4: arg = 610000; break; case 5: arg = 1010000; break; default: printf("error: %d\\n", arg); return -1; } int primes = 0, curri = 2; while (primes < arg) { int ok = true; for (int j = 2; j < sqrtf(curri); j++) { if (curri % j == 0) { ok = false; break; } } if (ok) { primes++; } curri++; } printf("lastprime: %d.\n", curri-1); return 0; } ''' self.do_benchmark('primes', src, 'lastprime:') def test_memops(self): src = ''' #include #include #include int main(int argc, char **argv) { int N, M; int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: N = 1024*1024; M = 55; break; case 2: N = 1024*1024; M = 400; break; case 3: N = 1024*1024; M = 800; break; case 4: N = 1024*1024; M = 4000; break; case 5: N = 1024*1024; M = 8000; break; default: printf("error: %d\\n", arg); return -1; } int final = 0; char *buf = (char*)malloc(N); for (int t = 0; t < M; t++) { for (int i = 0; i < N; i++) buf[i] = (i + final)%256; for (int i = 0; i < N; i++) final += buf[i] & 1; final = final % 1000; } printf("final: %d.\\n", final); return 0; } ''' self.do_benchmark('memops', src, 'final:') def zzztest_files(self): src = r''' #include #include #include #include int main() { int N = 100; int M = 1000; int K = 1000; unsigned char *k = (unsigned char*)malloc(K+1), *k2 = (unsigned char*)malloc(K+1); for (int i = 0; i < K; i++) { k[i] = (i % 250) + 1; } k[K] = 0; char buf[100]; for (int i = 0; i < N; i++) { sprintf(buf, "/dev/shm/file-%d.dat", i); FILE *f = fopen(buf, "w"); for (int j = 0; j < M; j++) { fwrite(k, 1, (j % K) + 1, f); } fclose(f); } for (int i = 0; i < N; i++) { sprintf(buf, "/dev/shm/file-%d.dat", i); FILE *f = fopen(buf, "r"); for (int j = 0; j < M; j++) { fread(k2, 1, (j % K) + 1, f); } fclose(f); for (int j = 0; j < K; j++) { assert(k[j] == k2[j]); } unlink(buf); } printf("ok"); return 0; } ''' self.do_benchmark(src, 'ok') def test_copy(self): src = r''' #include struct vec { int x, y, z; int r, g, b; vec(int x_, int y_, int z_, int r_, int g_, int b_) : x(x_), y(y_), z(z_), r(r_), g(g_), b(b_) {} static vec add(vec a, vec b) { return vec(a.x+b.x, a.y+b.y, a.z+b.z, a.r+b.r, a.g+b.g, a.b+b.b); } void norm() { x %= 1024; y %= 1024; z %= 1024; r %= 1024; b %= 1024; g %= 1024; } int sum() { return x + y + z + r + g + b; } }; int main(int argc, char **argv) { int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: arg = 75; break; case 2: arg = 625; break; case 3: arg = 1250; break; case 4: arg = 5*1250; break; case 5: arg = 10*1250; break; default: printf("error: %d\\n", arg); return -1; } int total = 0; for (int i = 0; i < arg; i++) { for (int j = 0; j < 50000; j++) { vec c(i, i+i%10, j*2, i%255, j%120, i%15); vec d(j+i%10, j*2, j%255, i%120, j%15, j); vec e = c; c.norm(); d.norm(); vec f = vec::add(c, d); f = vec::add(e, f); f.norm(); f = vec::add(d, f); total += f.sum() % 100; total %= 10240; } } printf("sum:%d\n", total); return 0; } ''' self.do_benchmark('copy', src, 'sum:') def test_ifs(self): src = r''' #include #include volatile int x = 0; __attribute__ ((noinline)) int calc() { return (x++) & 16384; } int main(int argc, char *argv[]) { int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: arg = 75; break; case 2: arg = 625; break; case 3: arg = 1250; break; case 4: arg = 5*1250; break; case 5: arg = 10*1250; break; default: printf("error: %d\\n", arg); return -1; } int sum = 0; for (int j = 0; j < 27000; j++) { for (int i = 0; i < arg; i++) { if (calc() && calc()) { sum += 17; } else { sum += 19; } if (calc() || calc()) { sum += 23; } } } printf("ok\n"); return sum; } ''' self.do_benchmark('ifs', src, 'ok', reps=TEST_REPS*5) def test_fannkuch(self): src = open(path_from_root('tests', 'fannkuch.cpp'), 'r').read().replace( 'int n = argc > 1 ? atoi(argv[1]) : 0;', ''' int n; int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: n = 9; break; case 2: n = 10; break; case 3: n = 11; break; case 4: n = 11; break; case 5: n = 12; break; default: printf("error: %d\\n", arg); return -1; } ''' ) assert 'switch(arg)' in src self.do_benchmark('fannkuch', src, 'Pfannkuchen(') def test_corrections(self): src = r''' #include #include int main(int argc, char **argv) { int N, M; int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: N = 20000; M = 550; break; case 2: N = 20000; M = 3500; break; case 3: N = 20000; M = 7000; break; case 4: N = 20000; M = 5*7000; break; case 5: N = 20000; M = 10*7000; break; default: printf("error: %d\\n", arg); return -1; } unsigned int f = 0; unsigned short s = 0; for (int t = 0; t < M; t++) { for (int i = 0; i < N; i++) { f += i / ((t % 5)+1); if (f > 1000) f /= (t % 3)+1; if (i % 4 == 0) f += i * (i % 8 == 0 ? 1 : -1); s += (short(f)*short(f)) % 256; } } printf("final: %d:%d.\n", f, s); return 0; } ''' self.do_benchmark('corrections', src, 'final:', emcc_args=['-s', 'CORRECT_SIGNS=1', '-s', 'CORRECT_OVERFLOWS=1', '-s', 'CORRECT_ROUNDINGS=1']) def fasta(self, name, double_rep, emcc_args=[]): src = open(path_from_root('tests', 'fasta.cpp'), 'r').read().replace('double', double_rep) src = src.replace(' const size_t n = ( argc > 1 ) ? atoi( argv[1] ) : 512;', ''' int n; int arg = argc > 1 ? argv[1][0] - '0' : 3; switch(arg) { case 0: return 0; break; case 1: n = 19000000/20; break; case 2: n = 19000000/2; break; case 3: n = 19000000; break; case 4: n = 19000000*5; break; case 5: n = 19000000*10; break; default: printf("error: %d\\n", arg); return -1; } ''') assert 'switch(arg)' in src self.do_benchmark('fasta', src, '') def test_fasta_float(self): self.fasta('fasta_float', 'float') def test_fasta_double(self): if CORE_BENCHMARKS: return self.fasta('fasta_double', 'double') def test_fasta_double_full(self): if CORE_BENCHMARKS: return self.fasta('fasta_double_full', 'double', emcc_args=['-s', 'DOUBLE_MODE=1']) def test_skinning(self): src = open(path_from_root('tests', 'skinning_test_no_simd.cpp'), 'r').read() self.do_benchmark('skinning', src, 'blah=0.000000') def test_life(self): if CORE_BENCHMARKS: return src = open(path_from_root('tests', 'life.c'), 'r').read() self.do_benchmark('life', src, '''--------------------------------''', shared_args=['-std=c99'], force_c=True) def test_linpack_double(self): if CORE_BENCHMARKS: return def output_parser(output): return 100.0/float(re.search('Unrolled Double Precision +([\d\.]+) Mflops', output).group(1)) self.do_benchmark('linpack_double', open(path_from_root('tests', 'linpack.c')).read(), '''Unrolled Double Precision''', force_c=True, output_parser=output_parser) def test_linpack_float(self): # TODO: investigate if this might benefit from -ffast-math in LLVM 3.3+ which has fast math stuff in LLVM IR def output_parser(output): return 100.0/float(re.search('Unrolled Single Precision +([\d\.]+) Mflops', output).group(1)) self.do_benchmark('linpack_float', open(path_from_root('tests', 'linpack.c')).read(), '''Unrolled Single Precision''', force_c=True, output_parser=output_parser, shared_args=['-DSP']) def test_zzz_java_nbody(self): # tests xmlvm compiled java, including bitcasts of doubles, i64 math, etc. if CORE_BENCHMARKS: return args = [path_from_root('tests', 'nbody-java', x) for x in os.listdir(path_from_root('tests', 'nbody-java')) if x.endswith('.c')] + \ ['-I' + path_from_root('tests', 'nbody-java')] self.do_benchmark('nbody_java', '', '''Time(s)''', force_c=True, emcc_args=args + ['-s', 'PRECISE_I64_MATH=1', '--llvm-lto', '2'], native_args=args + ['-lgc', '-std=c99', '-target', 'x86_64-pc-linux-gnu', '-lm']) def lua(self, benchmark, expected, output_parser=None, args_processor=None): shutil.copyfile(path_from_root('tests', 'lua', benchmark + '.lua'), benchmark + '.lua') def lib_builder(name, native, env_init): ret = self.get_library('lua_native' if native else 'lua', [os.path.join('src', 'lua'), os.path.join('src', 'liblua.a')], make=['make', 'generic'], configure=None, native=native, cache_name_extra=name, env_init=env_init) if native: return ret shutil.copyfile(ret[0], ret[0] + '.bc') ret[0] += '.bc' return ret self.do_benchmark('lua_' + benchmark, '', expected, force_c=True, args=[benchmark + '.lua', DEFAULT_ARG], emcc_args=['--embed-file', benchmark + '.lua'], lib_builder=lib_builder, native_exec=os.path.join('building', 'lua_native', 'src', 'lua'), output_parser=output_parser, args_processor=args_processor) def test_zzz_lua_scimark(self): def output_parser(output): return 100.0/float(re.search('\nSciMark +([\d\.]+) ', output).group(1)) self.lua('scimark', '[small problem sizes]', output_parser=output_parser) def test_zzz_lua_binarytrees(self): # js version: ['binarytrees.lua', {0: 0, 1: 9.5, 2: 11.99, 3: 12.85, 4: 14.72, 5: 15.82}[arguments[0]]] self.lua('binarytrees', 'long lived tree of depth') def test_zzz_zlib(self): src = open(path_from_root('tests', 'zlib', 'benchmark.c'), 'r').read() def lib_builder(name, native, env_init): return self.get_library('zlib', os.path.join('libz.a'), make_args=['libz.a'], native=native, cache_name_extra=name, env_init=env_init) self.do_benchmark('zlib', src, '''ok.''', force_c=True, shared_args=['-I' + path_from_root('tests', 'zlib')], lib_builder=lib_builder) def test_zzz_box2d(self): # Called thus so it runs late in the alphabetical cycle... it is long src = open(path_from_root('tests', 'box2d', 'Benchmark.cpp'), 'r').read() def lib_builder(name, native, env_init): return self.get_library('box2d', [os.path.join('box2d.a')], configure=None, native=native, cache_name_extra=name, env_init=env_init) self.do_benchmark('box2d', src, 'frame averages', shared_args=['-I' + path_from_root('tests', 'box2d')], lib_builder=lib_builder) def test_zzz_bullet(self): # Called thus so it runs late in the alphabetical cycle... it is long src = open(path_from_root('tests', 'bullet', 'Demos', 'Benchmarks', 'BenchmarkDemo.cpp'), 'r').read() + \ open(path_from_root('tests', 'bullet', 'Demos', 'Benchmarks', 'main.cpp'), 'r').read() def lib_builder(name, native, env_init): return self.get_library('bullet', [os.path.join('src', '.libs', 'libBulletDynamics.a'), os.path.join('src', '.libs', 'libBulletCollision.a'), os.path.join('src', '.libs', 'libLinearMath.a')], configure_args=['--disable-demos','--disable-dependency-tracking'], native=native, cache_name_extra=name, env_init=env_init) emcc_args = ['-s', 'DEAD_FUNCTIONS=["__ZSt9terminatev"]'] self.do_benchmark('bullet', src, '\nok.\n', emcc_args=emcc_args, shared_args=['-I' + path_from_root('tests', 'bullet', 'src'), '-I' + path_from_root('tests', 'bullet', 'Demos', 'Benchmarks')], lib_builder=lib_builder)