Knowledge (XXG)

Graph500

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with average degree of 16). There are three computation kernels in the benchmark: the first kernel is to generate the graph and compress it into sparse structures CSR or CSC (Compressed Sparse Row/Column); the second kernel does a parallel BFS search of some random vertices (64 search iterations per
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run); the third kernel runs a single-source shortest paths (SSSP) computation. Six possible sizes (Scales) of graph are defined: toy (2 vertices; 17 GB of RAM), mini (2; 137 GB), small (2; 1.1 TB), medium (2; 17.6 TB), large (2; 140 TB), and huge (2; 1.1 PB of RAM).
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According to June 2024 release of the list, for the BFS results section, Fugaku ranks highest, but in the SSSP results section Wuhan Supercomputer ranks highest, then Pengcheng Cloudbrain-II, then Fugaku; table shows for BFS results:
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The benchmark used in Graph500 stresses the communication subsystem of the system, instead of counting double precision floating-point. It is based on a breadth-first search in a large undirected graph (a model of
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Ueno, Koji; Suzumura, Toyotaro; Maruyama, Naoya; Fujisawa, Katsuki; Matsuoka, Satoshi (2016). "Extreme scale breadth-first search on supercomputers".
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The algorithm and implementation that won the championship is published in the paper titled "Extreme scale breadth-first search on supercomputers".
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Ueno, K.; Suzumura, T.; Maruyama, N.; Fujisawa, K.; Matsuoka, S. (December 1, 2016). "Extreme scale breadth-first search on supercomputers".
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in November 2010. New versions of the list are published twice a year. The main performance metric used to rank the supercomputers is
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There is also list Green Graph 500, which uses same performance metric, but sorts list according to performance per Watt, like
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Despite its name, there were several hundreds of systems in the rating, growing up to 174 in June 2014.
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The implementation strategy that have won the championship on the Japanese K computer is described in.
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Spain (Barcelona), has a new supercomputer MareNostrum 5 ACC, ranked 8th.
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Performance Evaluation of Graph500 on Large-Scale Distributed Environment
1904:"The Case for the Graph 500 – Really Fast or Really Productive? Pick One" 1874: 1429: 1351: 1099: 1093: 1020: 118: 98:
The reference implementation of the benchmark contains several versions:
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National Engineering Research Center for Big Data Technology and System
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Science and Technology Facilities Council - Daresbury Laboratory
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Science and Technology Facilities Council - Daresbury Laboratory
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Science and Technology Facilities Council – Daresbury Laboratory
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2016 IEEE International Conference on Big Data (Big Data)
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2016 IEEE International Conference on Big Data (Big Data)
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The first list was published at the 768:(ThinkSystem SD530 Xeon Platinum 8174 24C 3.1GHz 520:Pengcheng Cloudbrain-II (Kunpeng 920+Ascend 910) 422:According to November 2022 release of the list: 319:Pengcheng Cloudbrain-II (Kunpeng 920+Ascend 910) 850:DepGraph Supernode (DepGraph (+GPU Tesla A100)) 1915: 1913: 1842:Victorian Life Sciences Computation Initiative 1551:Victorian Life Sciences Computation Initiative 1221:Victorian Life Sciences Computation Initiative 8: 1578:According to June 2013 release of the list: 1248:According to June 2014 release of the list: 885:According to June 2016 release of the list: 2189: 1580: 1250: 887: 424: 355:HPE Cray EX - Intel Exascale Compute Blade 149: 1891: 35:International Supercomputing Conference 1902:The Exascale Report (March 15, 2012). 1612:Lawrence Livermore National Laboratory 1315:Lawrence Livermore National Laboratory 984:Lawrence Livermore National Laboratory 952:National Supercomputing Center in Wuxi 554:National Supercomputing Center in Wuxi 389:National Supercomputing Center in Wuxi 7: 2005:(in Russian). Open Systems #1 2011. 633:Japan Aerospace Exploration Agency 599:Wisteria/BDEC-01 (PRIMEHPC FX1000) 352:DOE/SC/Argonne National Laboratory 39:ACM/IEEE Supercomputing Conference 14: 111:parallel C version with usage of 1989:// IEEE IISWC 2011, Austin, TX; 835: 793: 748: 703: 658: 620: 582: 541: 505: 460: 376: 340: 304: 268: 230: 185: 877:took the top spot of the list. 33:. The project was announced on 18:Rating of supercomputer systems 2058:"Complete Results - Graph 500" 2003:"Graph500: адекватный рейтинг" 127:version (with MPI-1 functions) 1: 716:Oak Ridge National Laboratory 2154:"June 2013 | Graph 500" 2128:"June 2016 | Graph 500" 2026:10.1109/BigData.2016.7840705 1956:10.1109/BigData.2016.7840705 1921:"June 2014 | Graph 500" 130:optimized MPI version (with 58:Sandia National Laboratories 1684:K computer (Fujitsu custom) 1635:Argonne National Laboratory 1347:Argonne National Laboratory 1016:Argonne National Laboratory 637:TOKI-SORA (PRIMEHPC FX1000) 2242: 2080:"November 2022; Graph 500" 51:traversed edges per second 2202:Introducing the Graph 500 1615:IBM Sequoia (Blue Gene/Q) 1216: 1193: 1168: 1145: 1122: 1089: 1064: 1039: 1011: 979: 947: 915: 908: 905: 902: 899: 896: 893: 890: 134:one-sided communications) 2221:Supercomputer benchmarks 1776:Blue Joule (Blue Gene/Q) 1658:Forschungszentrum Jülich 1482:Blue Joule (Blue Gene/Q) 1375:Forschungszentrum Jülich 1152:Blue Joule (Blue Gene/Q) 1044:Forschungszentrum Jülich 1796:University of Edinburgh 1590:Machine (architecture) 1503:University of Edinburgh 1260:Machine (architecture) 1173:University of Edinburgh 897:Machine (architecture) 437:Machine (architecture) 162:Machine (architecture) 2020:. pp. 1040–1047. 1950:. pp. 1040–1047. 1822:Zumbrota (Blue Gene/Q) 1730:Tianhe-2 (NUDT custom) 1638:IBM Mira (Blue Gene/Q) 1530:Zumbrota (Blue Gene/Q) 1200:Zumbrota (Blue Gene/Q) 247:Kunpeng 920+Tesla A100 1661:JUQUEEN (Blue Gene/Q) 1379:JUQUEEN (Blue Gene/Q) 1048:JUQUEEN (Blue Gene/Q) 806:Zuse Institute Berlin 761:Leibniz Rechenzentrum 108:serial low-level in C 102:serial high-level in 2197:June 2014 Graph 500 1753:Turing (Blue Gene/Q) 1459:Turing (Blue Gene/Q) 1129:Turing (Blue Gene/Q) 478:Supercomputer Fugaku 203:Supercomputer Fugaku 56:Richard Murphy from 31:data-intensive loads 29:systems, focused on 1845:Avoca (Blue Gene/Q) 1799:DIRAC (Blue Gene/Q) 1707:Fermi (Blue Gene/Q) 1555:Avoca (Blue Gene/Q) 1507:DIRAC (Blue Gene/Q) 1404:Fermi (Blue Gene/Q) 1225:Avoca (Blue Gene/Q) 1177:DIRAC (Blue Gene/Q) 1073:Fermi (Blue Gene/Q) 961:NRCPC - Sunway MPP 2035:978-1-4673-9005-7 1965:978-1-4673-9005-7 1861: 1860: 1571: 1570: 1241: 1240: 957:Sunway TaihuLight 866: 865: 559:Sunway TaihuLight 412: 411: 394:Sunway TaihuLight 117:two versions for 2233: 2193: 2188: 2187: 2185:Official website 2170: 2169: 2167: 2165: 2160:on June 21, 2013 2156:. Archived from 2150: 2144: 2143: 2141: 2139: 2134:on June 24, 2016 2130:. Archived from 2124: 2118: 2117: 2115: 2113: 2098: 2092: 2091: 2089: 2087: 2076: 2070: 2069: 2067: 2065: 2054: 2048: 2047: 2013: 2007: 2006: 1999: 1993: 1984: 1978: 1977: 1943: 1937: 1936: 1934: 1932: 1927:on June 28, 2014 1923:. Archived from 1917: 1908: 1907: 1899: 1750:CNRS/IDRIS-GENCI 1596:Number of cores 1593:Number of nodes 1581: 1456:CNRS/IDRIS-GENCI 1266:Number of cores 1263:Number of nodes 1251: 1126:CNRS/IDRIS-GENCI 903:Number of cores 900:Number of nodes 888: 841: 839: 838: 799: 797: 796: 754: 752: 751: 709: 707: 706: 664: 662: 661: 626: 624: 623: 588: 586: 585: 547: 545: 544: 511: 509: 508: 466: 464: 463: 443:Number of cores 440:Number of nodes 425: 382: 380: 379: 346: 344: 343: 310: 308: 307: 274: 272: 271: 236: 234: 233: 191: 189: 188: 168:Number of cores 165:Number of nodes 150: 2241: 2240: 2236: 2235: 2234: 2232: 2231: 2230: 2211: 2210: 2183: 2182: 2179: 2174: 2173: 2163: 2161: 2152: 2151: 2147: 2137: 2135: 2126: 2125: 2121: 2111: 2109: 2108:. June 23, 2020 2100: 2099: 2095: 2085: 2083: 2082:. June 14, 2017 2078: 2077: 2073: 2063: 2061: 2056: 2055: 2051: 2036: 2015: 2014: 2010: 2001: 2000: 1996: 1985: 1981: 1966: 1945: 1944: 1940: 1930: 1928: 1919: 1918: 1911: 1901: 1900: 1893: 1888: 1866: 1727:Changsha, China 1576: 1425:Changsha, China 1246: 883: 871: 836: 834: 812:Intel Omni-Path 794: 792: 770:Intel Omni-Path 749: 747: 704: 702: 659: 657: 621: 619: 583: 581: 542: 540: 506: 504: 461: 459: 420: 377: 375: 341: 339: 305: 303: 283:HPE Cray EX235a 269: 267: 231: 229: 186: 184: 144: 92:Kronecker graph 87: 25:is a rating of 19: 12: 11: 5: 2239: 2237: 2229: 2228: 2223: 2213: 2212: 2209: 2208: 2199: 2194: 2178: 2177:External links 2175: 2172: 2171: 2145: 2119: 2093: 2071: 2049: 2034: 2008: 1994: 1979: 1964: 1938: 1909: 1890: 1889: 1887: 1884: 1883: 1882: 1880:HPCG benchmark 1877: 1872: 1865: 1862: 1859: 1858: 1855: 1852: 1849: 1846: 1843: 1840: 1836: 1835: 1832: 1829: 1826: 1823: 1820: 1817: 1813: 1812: 1809: 1806: 1803: 1800: 1797: 1794: 1790: 1789: 1786: 1783: 1780: 1777: 1774: 1771: 1767: 1766: 1763: 1760: 1757: 1754: 1751: 1748: 1744: 1743: 1740: 1737: 1734: 1731: 1728: 1725: 1721: 1720: 1717: 1714: 1711: 1708: 1705: 1702: 1698: 1697: 1694: 1691: 1688: 1685: 1682: 1679: 1675: 1674: 1671: 1668: 1665: 1662: 1659: 1656: 1652: 1651: 1648: 1645: 1642: 1639: 1636: 1633: 1629: 1628: 1625: 1622: 1619: 1616: 1613: 1610: 1606: 1605: 1600: 1599:Problem scale 1597: 1594: 1591: 1588: 1585: 1575: 1572: 1569: 1568: 1565: 1562: 1559: 1556: 1553: 1548: 1544: 1543: 1540: 1537: 1534: 1531: 1528: 1525: 1521: 1520: 1517: 1514: 1511: 1508: 1505: 1500: 1496: 1495: 1492: 1489: 1486: 1483: 1480: 1477: 1473: 1472: 1469: 1466: 1463: 1460: 1457: 1454: 1450: 1449: 1446: 1443: 1440: 1437: 1427: 1422: 1418: 1417: 1414: 1411: 1408: 1405: 1402: 1397: 1393: 1392: 1389: 1386: 1383: 1380: 1377: 1372: 1368: 1367: 1364: 1361: 1358: 1355: 1349: 1344: 1340: 1339: 1336: 1333: 1330: 1327: 1317: 1312: 1308: 1307: 1304: 1301: 1298: 1295: 1285: 1280: 1276: 1275: 1270: 1269:Problem scale 1267: 1264: 1261: 1258: 1255: 1245: 1242: 1239: 1238: 1235: 1232: 1229: 1226: 1223: 1218: 1214: 1213: 1210: 1207: 1204: 1201: 1198: 1195: 1191: 1190: 1187: 1184: 1181: 1178: 1175: 1170: 1166: 1165: 1162: 1159: 1156: 1153: 1150: 1147: 1143: 1142: 1139: 1136: 1133: 1130: 1127: 1124: 1120: 1119: 1116: 1113: 1110: 1107: 1097: 1091: 1087: 1086: 1083: 1080: 1077: 1074: 1071: 1066: 1062: 1061: 1058: 1055: 1052: 1049: 1046: 1041: 1037: 1036: 1033: 1030: 1027: 1024: 1018: 1013: 1009: 1008: 1005: 1002: 999: 996: 986: 981: 977: 976: 973: 970: 967: 964: 954: 949: 945: 944: 941: 938: 935: 932: 922: 917: 913: 912: 907: 906:Problem scale 904: 901: 898: 895: 892: 882: 879: 870: 867: 864: 863: 860: 857: 854: 851: 848: 845: 832: 828: 827: 824: 821: 818: 815: 808: 803: 790: 786: 785: 782: 779: 776: 773: 763: 758: 745: 741: 740: 737: 734: 731: 728: 718: 713: 700: 696: 695: 692: 689: 686: 683: 673: 668: 655: 651: 650: 647: 644: 641: 638: 635: 630: 617: 613: 612: 609: 606: 603: 600: 597: 592: 579: 575: 574: 571: 568: 565: 562: 556: 551: 538: 534: 533: 530: 527: 524: 521: 518: 515: 502: 498: 497: 494: 491: 488: 485: 475: 470: 457: 453: 452: 447: 446:Problem scale 444: 441: 438: 435: 432: 429: 419: 416: 410: 409: 406: 403: 400: 397: 391: 386: 373: 369: 368: 365: 362: 359: 356: 353: 350: 337: 333: 332: 329: 326: 323: 320: 317: 314: 301: 297: 296: 293: 290: 287: 284: 281: 278: 265: 261: 260: 257: 254: 251: 248: 245: 240: 227: 223: 222: 219: 216: 213: 210: 200: 195: 182: 178: 177: 172: 171:Problem scale 169: 166: 163: 160: 157: 154: 143: 142:Top 10 ranking 140: 136: 135: 128: 121: 115: 109: 106: 86: 83: 17: 13: 10: 9: 6: 4: 3: 2: 2238: 2227: 2224: 2222: 2219: 2218: 2216: 2207: 2203: 2200: 2198: 2195: 2192: 2186: 2181: 2180: 2176: 2159: 2155: 2149: 2146: 2133: 2129: 2123: 2120: 2107: 2103: 2097: 2094: 2081: 2075: 2072: 2059: 2053: 2050: 2045: 2041: 2037: 2031: 2027: 2023: 2019: 2012: 2009: 2004: 1998: 1995: 1992: 1988: 1983: 1980: 1975: 1971: 1967: 1961: 1957: 1953: 1949: 1942: 1939: 1926: 1922: 1916: 1914: 1910: 1906:. Inside HPC. 1905: 1898: 1896: 1892: 1885: 1881: 1878: 1876: 1873: 1871: 1868: 1867: 1863: 1856: 1853: 1850: 1847: 1844: 1841: 1838: 1837: 1833: 1830: 1827: 1824: 1821: 1818: 1815: 1814: 1810: 1807: 1804: 1801: 1798: 1795: 1792: 1791: 1787: 1784: 1781: 1778: 1775: 1772: 1769: 1768: 1764: 1761: 1758: 1755: 1752: 1749: 1746: 1745: 1741: 1738: 1735: 1732: 1729: 1726: 1723: 1722: 1718: 1715: 1712: 1709: 1706: 1703: 1700: 1699: 1695: 1692: 1689: 1686: 1683: 1680: 1677: 1676: 1672: 1669: 1666: 1663: 1660: 1657: 1654: 1653: 1649: 1646: 1643: 1640: 1637: 1634: 1631: 1630: 1626: 1623: 1620: 1617: 1614: 1611: 1608: 1607: 1604: 1601: 1598: 1595: 1592: 1589: 1586: 1583: 1582: 1579: 1573: 1566: 1563: 1560: 1557: 1554: 1552: 1549: 1546: 1545: 1541: 1538: 1535: 1532: 1529: 1526: 1523: 1522: 1518: 1515: 1512: 1509: 1506: 1504: 1501: 1498: 1497: 1493: 1490: 1487: 1484: 1481: 1478: 1475: 1474: 1470: 1467: 1464: 1461: 1458: 1455: 1452: 1451: 1447: 1444: 1441: 1438: 1435: 1431: 1428: 1426: 1423: 1420: 1419: 1415: 1412: 1409: 1406: 1403: 1401: 1398: 1395: 1394: 1390: 1387: 1384: 1381: 1378: 1376: 1373: 1370: 1369: 1365: 1362: 1359: 1356: 1354:(Blue Gene/Q) 1353: 1350: 1348: 1345: 1342: 1341: 1337: 1334: 1331: 1328: 1325: 1321: 1318: 1316: 1313: 1310: 1309: 1305: 1302: 1299: 1296: 1293: 1289: 1286: 1284: 1281: 1278: 1277: 1274: 1271: 1268: 1265: 1262: 1259: 1256: 1253: 1252: 1249: 1243: 1236: 1233: 1230: 1227: 1224: 1222: 1219: 1215: 1211: 1208: 1205: 1202: 1199: 1196: 1192: 1188: 1185: 1182: 1179: 1176: 1174: 1171: 1167: 1163: 1160: 1157: 1154: 1151: 1148: 1144: 1140: 1137: 1134: 1131: 1128: 1125: 1121: 1117: 1114: 1111: 1108: 1105: 1101: 1098: 1095: 1092: 1088: 1084: 1081: 1078: 1075: 1072: 1070: 1067: 1063: 1059: 1056: 1053: 1050: 1047: 1045: 1042: 1038: 1034: 1031: 1028: 1025: 1023:(Blue Gene/Q) 1022: 1019: 1017: 1014: 1010: 1006: 1003: 1000: 997: 994: 990: 987: 985: 982: 978: 974: 971: 968: 965: 962: 958: 955: 953: 950: 946: 942: 939: 936: 933: 930: 926: 923: 921: 918: 914: 911: 889: 886: 880: 878: 876: 868: 861: 858: 855: 852: 849: 846: 844: 833: 830: 829: 825: 822: 819: 816: 813: 809: 807: 804: 802: 791: 788: 787: 783: 780: 777: 774: 771: 767: 764: 762: 759: 757: 746: 743: 742: 738: 735: 732: 729: 726: 722: 719: 717: 714: 712: 701: 698: 697: 693: 690: 687: 684: 681: 677: 674: 672: 669: 667: 656: 653: 652: 648: 645: 642: 639: 636: 634: 631: 629: 618: 615: 614: 610: 607: 604: 601: 598: 596: 593: 591: 580: 577: 576: 572: 569: 566: 563: 560: 557: 555: 552: 550: 539: 536: 535: 531: 528: 525: 522: 519: 517:Pengcheng Lab 516: 514: 503: 500: 499: 495: 492: 489: 486: 483: 482:Fujitsu A64FX 479: 476: 474: 471: 469: 458: 455: 454: 451: 448: 445: 442: 439: 436: 433: 430: 427: 426: 423: 417: 415: 407: 404: 401: 398: 395: 392: 390: 387: 385: 374: 371: 370: 366: 363: 360: 357: 354: 351: 349: 338: 335: 334: 330: 327: 324: 321: 318: 316:Pengcheng Lab 315: 313: 302: 299: 298: 294: 291: 288: 285: 282: 279: 277: 266: 263: 262: 258: 255: 252: 249: 246: 244: 241: 239: 228: 225: 224: 220: 217: 214: 211: 208: 207:Fujitsu A64FX 204: 201: 199: 196: 194: 183: 180: 179: 176: 173: 170: 167: 164: 161: 158: 155: 152: 151: 148: 141: 139: 133: 129: 126: 122: 120: 116: 114: 110: 107: 105: 101: 100: 99: 96: 93: 84: 82: 80: 76: 71: 68: 65: 64:is based on. 63: 59: 54: 52: 48: 44: 40: 36: 32: 28: 27:supercomputer 24: 16: 2162:. 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Retrieved 1925:the original 1577: 1247: 884: 872: 561:(Sunway MPP) 421: 413: 396:(Sunway MPP) 145: 137: 97: 88: 72: 69: 66: 55: 22: 20: 15: 2204:, paper by 1819:EDF R&D 1527:EDF R&D 1324:Blue Gene/Q 1320:IBM Sequoia 1197:EDF R&D 993:Blue Gene/Q 989:IBM Sequoia 766:SuperMUC-NG 721:OLCF Summit 680:HPE Cray EX 671:EuroHPC/CSC 77:works with 2215:Categories 1886:References 1288:K computer 925:K computer 873:Arm-based 725:IBM POWER9 104:GNU Octave 2226:Top lists 2112:August 8, 862:4623.379 259:115357.6 85:Benchmark 75:Green 500 2164:June 19, 2064:July 20, 1931:June 26, 1875:Green500 1864:See also 1742:2061.48 1696:5524.12 1448:2061.48 1430:Tianhe-2 1352:IBM Mira 1306:17977.1 1118:2061.48 1100:Tianhe-2 1094:Changsha 1021:IBM Mira 975:23755.7 969:10599680 943:38621.4 826:5423.94 784:6279.47 694:8467.71 573:23755.7 567:10599680 532:25242.9 431:Country 408:23755.7 402:10599680 367:24250.2 361:25591808 331:25242.9 295:29654.6 280:Frontier 156:Country 119:Cray-XMT 23:Graph500 2138:July 6, 2106:HPCwire 2044:8680200 1974:8680200 1621:1048576 1436:custom) 1332:1048576 1294:custom) 1292:Fujitsu 1106:custom) 1096:, China 1001:1572864 931:custom) 929:Fujitsu 801:Germany 756:Germany 739:7665.7 496:102955 490:7630848 289:8730112 253:6999552 221:166029 215:7299072 81:(HPL). 2206:Sandia 2060:. 2024 2042:  2032:  1972:  1962:  1870:TOP500 1736:196608 1713:131072 1704:CINECA 1690:524288 1667:262144 1650:14328 1644:786432 1627:15363 1442:196608 1410:131072 1400:CINECA 1385:262144 1366:14328 1360:786432 1338:16599 1300:524288 1112:196608 1079:131072 1069:CINECA 1054:262144 1035:14982 1029:786432 1007:23751 937:663552 875:Fugaku 840:  820:121920 810:Lise ( 798:  778:196608 753:  708:  688:190976 676:LUMI-C 663:  649:10813 643:276480 625:  611:16118 605:368640 587:  546:  510:  487:158976 465:  381:  345:  309:  273:  235:  212:152064 190:  123:basic 113:OpenMP 79:TOP500 62:TOP500 2040:S2CID 1970:S2CID 1857:1427 1851:65536 1834:1427 1828:65536 1811:1427 1805:65536 1788:1427 1782:65536 1765:1427 1759:65536 1719:2567 1687:65536 1673:5848 1664:16384 1641:49152 1618:65536 1603:GTEPS 1587:Site 1584:Rank 1567:1427 1561:65536 1542:1427 1536:65536 1519:1427 1513:65536 1494:1427 1488:65536 1471:1427 1465:65536 1416:2567 1391:5848 1382:16384 1357:49152 1329:65536 1297:65536 1273:GTEPS 1257:Site 1254:Rank 1237:1427 1231:65536 1212:1427 1206:65536 1189:1427 1183:65536 1164:1427 1158:65536 1141:1427 1135:65536 1085:2567 1060:5848 1051:16384 1026:49152 998:98304 966:40768 934:82944 910:GTEPS 894:Site 891:Rank 843:China 733:86016 628:Japan 590:Japan 564:40768 549:China 526:93696 513:China 468:Japan 450:GTEPS 434:Site 428:Rank 399:40768 384:China 325:93696 312:China 243:Wuhan 238:China 193:Japan 175:GTEPS 159:Site 153:Rank 132:MPI-2 43:GTEPS 2166:2013 2140:2016 2114:2020 2088:2022 2066:2024 2030:ISBN 1960:ISBN 1933:2014 1848:4096 1825:4096 1802:4096 1779:4096 1756:4096 1733:8192 1710:8192 1574:2013 1558:4096 1533:4096 1510:4096 1485:4096 1462:4096 1439:8192 1434:NUDT 1407:8192 1244:2014 1228:4096 1203:4096 1180:4096 1155:4096 1132:4096 1109:8192 1104:NUDT 1076:8192 881:2016 869:2020 817:1270 775:4096 730:2048 685:1492 640:5760 602:7680 418:2022 358:4096 286:9248 47:giga 21:The 2022:doi 1952:doi 856:128 523:488 348:USA 322:488 276:USA 250:252 125:MPI 53:). 2217:: 2104:. 2038:. 2028:. 1968:. 1958:. 1912:^ 1894:^ 1854:36 1831:36 1808:36 1785:36 1762:36 1739:36 1716:37 1693:40 1670:38 1647:40 1624:40 1564:36 1539:36 1516:36 1491:36 1468:36 1445:36 1413:37 1388:38 1363:40 1335:40 1303:40 1234:36 1217:8 1209:36 1194:8 1186:36 1169:8 1161:36 1146:8 1138:36 1123:8 1115:36 1090:7 1082:37 1065:6 1057:38 1040:5 1032:40 1012:4 1004:41 980:3 972:40 948:2 940:40 916:1 859:33 831:10 823:38 781:39 736:40 711:US 691:38 666:EU 646:36 608:37 570:40 529:40 493:41 405:40 364:40 328:40 292:40 256:41 218:42 49:- 2168:. 2142:. 2116:. 2090:. 2068:. 2046:. 2024:: 1976:. 1954:: 1935:. 1839:7 1816:7 1793:7 1770:7 1747:7 1724:6 1701:5 1678:4 1655:3 1632:2 1609:1 1547:7 1524:7 1499:7 1476:7 1453:7 1432:( 1421:6 1396:5 1371:4 1343:3 1326:) 1322:( 1311:2 1290:( 1279:1 1102:( 995:) 991:( 963:) 959:( 927:( 853:1 814:) 789:9 772:) 744:8 727:) 723:( 699:7 682:) 678:( 654:6 616:5 578:4 537:3 501:2 484:) 480:( 456:1 372:6 336:5 300:4 264:3 226:2 209:) 205:( 181:1 45:(

Index

supercomputer
data-intensive loads
International Supercomputing Conference
ACM/IEEE Supercomputing Conference
GTEPS
giga
traversed edges per second
Sandia National Laboratories
TOP500
Green 500
TOP500
Kronecker graph
GNU Octave
OpenMP
Cray-XMT
MPI
MPI-2
GTEPS
Japan
RIKEN Advanced Institute for Computational Science
Supercomputer Fugaku
Fujitsu A64FX
China
Wuhan
USA
China
USA
China
National Supercomputing Center in Wuxi
Sunway TaihuLight

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