Gauntlet Wasp 2.01 8 CPU \u2014 Chroniques Software<\/title>\n<\/head>\n<body>\n<div class=\"gauntlet-container\" style=\"all: initial; display: block; font-family: 'Segoe UI', Helvetica, Arial, sans-serif; background-color: #0a0a0a; padding: 40px; color: #e0e0e0; line-height: 1.6;\">\n <style>\n .gauntlet-wrapper { max-width: 950px; margin: 0 auto; background: #161616; border: 1px solid #333; border-radius: 12px; overflow: hidden; box-shadow: 0 20px 50px rgba(0,0,0,0.6); }\n .gauntlet-header { background: linear-gradient(135deg, #2c240a 0%, #000000 100%); padding: 30px; text-align: center; border-bottom: 3px solid #D4AF37; }\n .gauntlet-header h1 { color: #D4AF37; margin: 0; font-size: 2em; text-transform: uppercase; letter-spacing: 3px; }\n\n .section-title { color: #D4AF37; border-left: 4px solid #D4AF37; padding-left: 15px; margin: 30px 20px 15px 20px; font-size: 1.4em; text-transform: uppercase; }\n .main-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; padding: 0 20px 20px 20px; 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padding: 8px 10px; text-align: center; border-bottom: 2px solid #D4AF37; font-size: 0.85em; letter-spacing: 0.05em; }\n .recap-table td { padding: 7px 10px; border-bottom: 1px solid #2e2e2e; color: #ccc; text-align: center; }\n .recap-table td:first-child { text-align: left; }\n .recap-table tr:hover td { background: #1e1e1e; }\n .recap-table .total-row td { color: #D4AF37; font-weight: bold; border-top: 2px solid #D4AF37; }\n .pct-bar-wrap { display: flex; align-items: center; gap: 8px; }\n .pct-bar { height: 8px; border-radius: 4px; display: inline-block; }\n .pct-bar.low { background: #e57373; }\n .pct-bar.mid { background: #ffb74d; }\n .pct-bar.high { background: #4caf50; }\n\n .perf-summary { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-top: 14px; }\n .perf-box { background: #1c1c1c; border: 1px solid #3a3a2a; border-radius: 8px; padding: 14px; text-align: center; }\n .perf-box.gold-box { border-color: #D4AF37; background: #1d1a10; }\n .perf-box .perf-label { color: #888; font-size: 0.75em; text-transform: uppercase; letter-spacing: 0.07em; margin-bottom: 6px; }\n .perf-box .perf-value { color: #fff; font-size: 1.4em; font-weight: bold; font-family: 'Consolas', monospace; }\n .perf-box.gold-box .perf-value { color: #D4AF37; }\n .perf-box .perf-sub { color: #666; font-size: 0.72em; margin-top: 4px; }\n\n .hw-compare-table { width: 100%; border-collapse: collapse; font-size: 0.84em; margin-top: 10px; }\n .hw-compare-table th { background: #2a2a2a; color: #D4AF37; padding: 8px 10px; text-align: center; border-bottom: 2px solid #D4AF37; }\n .hw-compare-table th:first-child { text-align: left; }\n .hw-compare-table td { padding: 7px 10px; border-bottom: 1px solid #2e2e2e; color: #ccc; text-align: center; }\n .hw-compare-table td:first-child { text-align: left; }\n .hw-compare-table tr:hover td { background: #1e1e1e; }\n .hw-compare-table .ryzen-row td { color: #D4AF37; font-weight: bold; background: #1d1a10; }\n .hw-compare-table .ref-row td { color: #666; font-style: italic; }\n .hw-compare-table .gain-pos { color: #4caf50; font-weight: bold; }\n .hw-compare-table .nps-col { font-family: 'Consolas', monospace; font-size: 0.85em; }\n <\/style>\n\n <div class=\"gauntlet-wrapper\">\n\n \n <div class=\"gauntlet-header\">\n <h1>Gauntlet : Wasp 2.01 (8 Threads) vs The Era<\/h1>\n <p style=\"color: #888; margin-top: 10px;\">Hardware Target : Wasp 2.01 \u2014 8 threads | AMD Ryzen 9 7950X3D | Pool mixte (73 parties)<\/p>\n <\/div>\n\n \n <div class=\"section-title\">Le Challenger Am\u00e9ricain<\/div>\n <div class=\"main-grid\">\n <div class=\"engine-card hero\">\n <div class=\"elo-badge\">Perf. 3297 Elo \u00b1 20<\/div>\n <h2 style=\"margin: 0; color: #D4AF37;\">Wasp 2.01 \u2014 8 Threads (2014)<\/h2>\n <div class=\"stat-line\">Hardware : <span class=\"highlight\">AMD Ryzen 9 7950X3D \u2014 8 threads actifs<\/span><\/div>\n <div class=\"stat-line\">Performance Globale : <span class=\"highlight\">75,3%<\/span> \u2014 Score : <span class=\"highlight\">55 \u2013 18<\/span><\/div>\n <div class=\"stat-line\">Elo moyen du pool adverse : <span class=\"highlight\">3103<\/span> | Performance calcul\u00e9e : <span class=\"highlight\">3297 Elo<\/span> (+194 pts vs pool) | Erreur : <span class=\"highlight\">\u00b1 20 Elo<\/span><\/div>\n <p style=\"font-size: 0.85em; color: #D4AF37; font-style: italic; margin-top: 10px;\">\n Wasp 2.01 sur 8 threads du Ryzen 9 7950X3D r\u00e9alise une performance de 3297 Elo \u2014 un bond consid\u00e9rable par rapport aux mesures SSDF officielles qui placent la m\u00eame version \u00e0 2960 Elo sur Athlon 1.2 GHz, 3065 sur Q6600 4 CPU, et 3159 sur Ryzen 7 1800X 8 threads. Le passage au Ryzen 9 7950X3D repr\u00e9sente un gain suppl\u00e9mentaire de +138 Elo sur le 1800X, nettement sup\u00e9rieur \u00e0 ce que le seul ratio NPS laisserait pr\u00e9voir \u2014 une signature probable de l'effet V-Cache 3D. Wasp 2.01 domine int\u00e9gralement le pool d'opposition le plus relev\u00e9 de tous les gauntlets r\u00e9alis\u00e9s sur ce hardware, avec une opposition moyenne \u00e0 3103 Elo.\n <\/p>\n <\/div>\n <\/div>\n\n \n <div class=\"section-title\">R\u00e9sultats du Gauntlet \u2014 Match par Match<\/div>\n <div class=\"section-inner\">\n <table class=\"recap-table\">\n <thead>\n <tr>\n <th style=\"text-align:left\">Adversaire<\/th>\n <th>Elo Adv.<\/th>\n <th>Hardware Adv.<\/th>\n <th>Wasp Score<\/th>\n <th>Adv. Score<\/th>\n <th>Parties<\/th>\n <th>% Wasp<\/th>\n <th>R\u00e9sultat<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td><strong style=\"color:#fff\">Rybka 2.4MP (8 CPU)<\/strong><\/td>\n <td>3230<\/td>\n <td style=\"font-size:0.8em;color:#aaa\">Ryzen 9 7950X3D \u2014 8 threads<\/td>\n <td>8<\/td>\n <td>7<\/td>\n <td>15<\/td>\n <td>\n <div class=\"pct-bar-wrap\">\n <span style=\"color:#ffb74d;font-weight:bold\">53,3%<\/span>\n <div class=\"pct-bar mid\" style=\"width:32px\"><\/div>\n <\/div>\n <\/td>\n <td style=\"color:#4caf50;font-weight:bold\">\u2714 Victoire<\/td>\n <\/tr>\n <tr>\n <td><strong style=\"color:#fff\">Naum 4.2 x64<\/strong><\/td>\n <td>3143<\/td>\n <td style=\"font-size:0.8em;color:#aaa\">Q6600 2.4 GHz \u2014 4 CPU<\/td>\n <td>9<\/td>\n <td>5<\/td>\n <td>14<\/td>\n <td>\n <div class=\"pct-bar-wrap\">\n <span style=\"color:#4caf50;font-weight:bold\">64,3%<\/span>\n <div class=\"pct-bar high\" style=\"width:39px\"><\/div>\n <\/div>\n <\/td>\n <td style=\"color:#4caf50;font-weight:bold\">\u2714 Victoire<\/td>\n <\/tr>\n <tr>\n <td><strong style=\"color:#fff\">Shredder 10 UCI<\/strong><\/td>\n <td>3087<\/td>\n <td style=\"font-size:0.8em;color:#aaa\">Ryzen 9 7950X3D \u2014 1 thread<\/td>\n <td>13<\/td>\n <td>1<\/td>\n <td>14<\/td>\n <td>\n <div class=\"pct-bar-wrap\">\n <span style=\"color:#4caf50;font-weight:bold\">92,9%<\/span>\n <div class=\"pct-bar high\" style=\"width:56px\"><\/div>\n <\/div>\n <\/td>\n <td style=\"color:#4caf50;font-weight:bold\">\u2714 Victoire<\/td>\n <\/tr>\n <tr>\n <td><strong style=\"color:#fff\">Zappa Mexico II x64<\/strong><\/td>\n <td>3059<\/td>\n <td style=\"font-size:0.8em;color:#aaa\">Q6600 2.4 GHz \u2014 4 CPU<\/td>\n <td>11<\/td>\n <td>4<\/td>\n <td>15<\/td>\n <td>\n <div class=\"pct-bar-wrap\">\n <span style=\"color:#4caf50;font-weight:bold\">73,3%<\/span>\n <div class=\"pct-bar high\" style=\"width:44px\"><\/div>\n <\/div>\n <\/td>\n <td style=\"color:#4caf50;font-weight:bold\">\u2714 Victoire<\/td>\n <\/tr>\n <tr>\n <td><strong style=\"color:#fff\">Glaurung 2.2 x64<\/strong><\/td>\n <td>2995<\/td>\n <td style=\"font-size:0.8em;color:#aaa\">Q6600 2.4 GHz \u2014 4 CPU<\/td>\n <td>14<\/td>\n <td>1<\/td>\n <td>15<\/td>\n <td>\n <div class=\"pct-bar-wrap\">\n <span style=\"color:#4caf50;font-weight:bold\">93,3%<\/span>\n <div class=\"pct-bar high\" style=\"width:56px\"><\/div>\n <\/div>\n <\/td>\n <td style=\"color:#4caf50;font-weight:bold\">\u2714 Victoire<\/td>\n <\/tr>\n <tr class=\"total-row\">\n <td><strong>TOTAL<\/strong><\/td>\n <td>3103 moy.<\/td>\n <td style=\"font-size:0.8em\">\u2014 Pool mixte<\/td>\n <td><strong>55<\/strong><\/td>\n <td><strong>18<\/strong><\/td>\n <td><strong>73<\/strong><\/td>\n <td><strong>75,3%<\/strong><\/td>\n <td style=\"color:#D4AF37;font-weight:bold\">5V \/ 0= \/ 0D<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n \n <div class=\"section-title\">Synth\u00e8se de Performance<\/div>\n <div class=\"section-inner\">\n <div class=\"perf-summary\">\n <div class=\"perf-box\">\n <div class=\"perf-label\">Score Total<\/div>\n <div class=\"perf-value\">55 \u2013 18<\/div>\n <div class=\"perf-sub\">73 parties jou\u00e9es<\/div>\n <\/div>\n <div class=\"perf-box\">\n <div class=\"perf-label\">% de gain<\/div>\n <div class=\"perf-value\">75,3%<\/div>\n <div class=\"perf-sub\">5 victoires \/ 0 nul \/ 0 d\u00e9faite<\/div>\n <\/div>\n <div class=\"perf-box\">\n <div class=\"perf-label\">Elo moyen pool<\/div>\n <div class=\"perf-value\">3103<\/div>\n <div class=\"perf-sub\">Opposition moyenne<\/div>\n <\/div>\n <div class=\"perf-box gold-box\">\n <div class=\"perf-label\">Performance Elo<\/div>\n <div class=\"perf-value\">3297 \u00b1 20<\/div>\n <div class=\"perf-sub\">+194 pts vs pool \u2014 8 threads<\/div>\n <\/div>\n <\/div>\n <p style=\"font-size:0.82em; color:#888; margin-top:14px; background:#111; border:1px solid #2a2a2a; border-radius:6px; padding:12px 16px;\">\n <strong style=\"color:#D4AF37\">\ud83d\udcca Calcul de performance :<\/strong> Score de 75,3% (55\/73) sur un pool d'opposition moyen \u00e0 3103 Elo.\n Diff\u00e9rence Elo calcul\u00e9e : 400 \u00d7 log(0,753 \/ 0,247) = 400 \u00d7 log(3,048) = <strong style=\"color:#fff\">+194 points<\/strong>.\n Performance r\u00e9sultante : <strong style=\"color:#fff\">3297 Elo<\/strong>.\n Erreur standard : \u03c3 = 400 \u00d7 \u221a(0,753 \u00d7 0,247 \/ 73) = <strong style=\"color:#fff\">\u00b1 20 Elo<\/strong>.\n Intervalle de confiance 95% : <strong style=\"color:#fff\">3257 \u2014 3337 Elo<\/strong>.\n R\u00e9sultat parfait : <strong style=\"color:#fff\">5 victoires, 0 d\u00e9faite<\/strong> \u2014 Wasp 2.01 8T domine int\u00e9gralement le pool le plus relev\u00e9 de tous les gauntlets maison, avec une opposition moyenne \u00e0 3103 Elo.\n <\/p>\n <\/div>\n\n \n <div class=\"section-title\">Opposition & Hardware<\/div>\n <div class=\"main-grid\">\n <div class=\"engine-card\">\n <div class=\"elo-badge\">3230 Elo<\/div>\n <h3 style=\"margin: 0; color: #fff;\">Rybka 2.4MP (8 CPU)<\/h3>\n <div class=\"stat-line\">Score Wasp : <span class=\"highlight\">8 \u2013 7<\/span> <span style=\"color:#ffb74d\">(53,3%)<\/span><\/div>\n <span class=\"hw-info\">Hardware: Ryzen 9 7950X3D \u2014 8 threads<\/span>\n <\/div>\n <div class=\"engine-card\">\n <div class=\"elo-badge\">3143 Elo<\/div>\n <h3 style=\"margin: 0; color: #fff;\">Naum 4.2 x64<\/h3>\n <div class=\"stat-line\">Score Wasp : <span class=\"highlight\">9 \u2013 5<\/span> <span style=\"color:#4caf50\">(64,3%)<\/span><\/div>\n <span class=\"hw-info\">Hardware: Q6600 2.4 GHz \u2014 4 threads<\/span>\n <\/div>\n <div class=\"engine-card\">\n <div class=\"elo-badge\">3087 Elo<\/div>\n <h3 style=\"margin: 0; color: #fff;\">Shredder 10 UCI<\/h3>\n <div class=\"stat-line\">Score Wasp : <span class=\"highlight\">13 \u2013 1<\/span> <span style=\"color:#4caf50\">(92,9%)<\/span><\/div>\n <span class=\"hw-info\">Hardware: Ryzen 9 7950X3D \u2014 1 thread<\/span>\n <\/div>\n <div class=\"engine-card\">\n <div class=\"elo-badge\">3059 Elo<\/div>\n <h3 style=\"margin: 0; color: #fff;\">Zappa Mexico II x64<\/h3>\n <div class=\"stat-line\">Score Wasp : <span class=\"highlight\">11 \u2013 4<\/span> <span style=\"color:#4caf50\">(73,3%)<\/span><\/div>\n <span class=\"hw-info\">Hardware: Q6600 2.4 GHz \u2014 4 threads<\/span>\n <\/div>\n <div class=\"engine-card\" style=\"grid-column: span 2;\">\n <div class=\"elo-badge\">2995 Elo<\/div>\n <h3 style=\"margin: 0; color: #fff;\">Glaurung 2.2 x64<\/h3>\n <div class=\"stat-line\">Score Wasp : <span class=\"highlight\">14 \u2013 1<\/span> <span style=\"color:#4caf50\">(93,3%)<\/span><\/div>\n <span class=\"hw-info\">Hardware: Q6600 2.4 GHz \u2014 4 threads<\/span>\n <\/div>\n <\/div>\n\n \n <div class=\"section-title\">Classements SSDF Officiels \u2014 Wasp 2.01 sur 3 Hardwares<\/div>\n <div class=\"section-inner\">\n <p style=\"font-size:0.84em; color:#888; margin: 0 0 14px 0;\">\n Sources : SSDF 2018-10 et 2019-02. Wasp 2.01 est le seul moteur de l'\u00e8re classique mesur\u00e9 officiellement sur trois niveaux de hardware distincts, permettant une calibration crois\u00e9e exceptionnelle.\n <\/p>\n <table class=\"ssdf-table\">\n <thead>\n <tr>\n <th>Version \/ Hardware<\/th>\n <th>Threads<\/th>\n <th>NPS total estim\u00e9<\/th>\n <th>Elo SSDF<\/th>\n <th>Parties<\/th>\n <th>Gain vs Athlon<\/th>\n <th>Source<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td>Wasp 2.01 \u2014 Athlon 1.2 GHz<\/td>\n <td>1<\/td>\n <td>565 kNps<\/td>\n <td>2960<\/td>\n <td>480<\/td>\n <td>\u2014 r\u00e9f\u00e9rence<\/td>\n <td>SSDF 2018-10<\/td>\n <\/tr>\n <tr>\n <td>Wasp 2.01 \u2014 Q6600 2.4 GHz (4 CPU)<\/td>\n <td>4<\/td>\n <td>1 693 \u00d7 4 = 6 772 kNps<\/td>\n <td>3065<\/td>\n <td>404<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+105<\/td>\n <td>SSDF 2019-02<\/td>\n <\/tr>\n <tr>\n <td>Wasp 2.01 \u2014 Ryzen 7 1800X (8 threads)<\/td>\n <td>8<\/td>\n <td>2 750 \u00d7 8 = 22 000 kNps<\/td>\n <td>3159<\/td>\n <td>726<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+199<\/td>\n <td>SSDF 2018-10 \/ 2019-02<\/td>\n <\/tr>\n <tr class=\"ryzen-row\">\n <td>Wasp 2.01 \u2014 Ryzen 9 7950X3D (8 threads)<\/td>\n <td>8<\/td>\n <td>5 279 \u00d7 8 = 42 232 kNps<\/td>\n <td>3297 \u00b1 20<\/td>\n <td>73<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+337<\/td>\n <td>Gauntlet maison 2026<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n \n <div class=\"section-title\">Analyse \u2014 Loi d'\u00c9chelle Hardware & Performance Elo<\/div>\n <div class=\"section-inner\">\n <table class=\"hw-compare-table\">\n <thead>\n <tr>\n <th>Hardware<\/th>\n <th>NPS\/thread<\/th>\n <th>Threads<\/th>\n <th>NPS total<\/th>\n <th>Ratio vs Athlon<\/th>\n <th>Elo mesur\u00e9<\/th>\n <th>Gain Elo r\u00e9el<\/th>\n <th>Elo\/doublement NPS<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr class=\"ref-row\">\n <td>Athlon 1.2 GHz \u2014 1T<\/td>\n <td class=\"nps-col\">565<\/td>\n <td>1<\/td>\n <td class=\"nps-col\">565<\/td>\n <td>\u00d7 1,0<\/td>\n <td>2960<\/td>\n <td>\u2014<\/td>\n <td>\u2014<\/td>\n <\/tr>\n <tr>\n <td>Q6600 2.4 GHz \u2014 4 CPU<\/td>\n <td class=\"nps-col\">1 693<\/td>\n <td>4<\/td>\n <td class=\"nps-col\">6 772<\/td>\n <td>\u00d7 11,98<\/td>\n <td>3065<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+105<\/td>\n <td>~29 Elo<\/td>\n <\/tr>\n <tr>\n <td>Ryzen 7 1800X \u2014 8T<\/td>\n <td class=\"nps-col\">2 750<\/td>\n <td>8<\/td>\n <td class=\"nps-col\">22 000<\/td>\n <td>\u00d7 38,94<\/td>\n <td>3159<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+199<\/td>\n <td>~35 Elo<\/td>\n <\/tr>\n <tr class=\"ryzen-row\">\n <td>Ryzen 9 7950X3D \u2014 8T<\/td>\n <td class=\"nps-col\">5 279<\/td>\n <td>8<\/td>\n <td class=\"nps-col\">42 232<\/td>\n <td>\u00d7 74,75<\/td>\n <td>3297 \u00b1 20<\/td>\n <td style=\"color:#4caf50;font-weight:bold\">+337<\/td>\n <td>~36 Elo<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <p style=\"font-size:0.82em; color:#888; margin-top:14px; background:#111; border:1px solid #2a2a2a; border-radius:6px; padding:12px 16px;\">\n <strong style=\"color:#D4AF37\">\ud83d\udd0d Analyse de coh\u00e9rence \u2014 La loi de Wasp :<\/strong>\n <br><br>\n Les quatre mesures disponibles (Athlon, Q6600, 1800X, Ryzen 9) permettent de tracer une courbe Elo = f(log NPS) d'une coh\u00e9rence remarquable. En coordonn\u00e9es log-lin\u00e9aires, le gain Elo par doublement de NPS est quasi constant autour de <strong style=\"color:#fff\">34\u201336 Elo par doublement<\/strong> \u2014 parfaitement conforme aux valeurs th\u00e9oriques pour les moteurs alpha-b\u00eata (typiquement 30\u201340 Elo\/doublement).\n <br><br>\n <strong style=\"color:#fff\">Du 1800X au Ryzen 9 7950X3D<\/strong> : NPS mono-thread passe de 2 750 \u00e0 5 279, soit \u00d71,92 (0,94 doublement) \u00e0 8 threads constants. Gain Elo attendu par le seul NPS : ~33 pts. Gain r\u00e9el observ\u00e9 : <strong style=\"color:#fff\">+138 Elo<\/strong> (3297 \u2212 3159). L'\u00e9cart de +105 Elo inexpliqu\u00e9s par le NPS brut pointe directement vers le <strong style=\"color:#fff\">V-Cache 3D<\/strong> \u2014 les 96 Mo de L3 du 7950X3D permettant \u00e0 la table de transposition de Wasp de rester enti\u00e8rement en cache chaud, d\u00e9cuplant l'efficacit\u00e9 de chaque n\u0153ud calcul\u00e9. Wasp semble \u00eatre le moteur qui tire le mieux parti du V-Cache de toute la s\u00e9rie de gauntlets maison.\n <\/p>\n <\/div>\n\n \n <div class=\"section-title\">Commentaire Technique<\/div>\n <div class=\"bio-section\">\n <div class=\"bio-card\" style=\"border-bottom: none;\">\n <span class=\"bio-name\">Analyse du Match-up \u2014 Wasp 2.01 (8 threads, Ryzen 9 7950X3D)<\/span>\n <p class=\"stat-line\">Le gauntlet de Wasp 2.01 est un sans-faute : 5 victoires, 0 d\u00e9faite, 0 nul, sur le pool d'opposition le plus relev\u00e9 de tous les gauntlets maison (3103 Elo de moyenne). Le match le plus disput\u00e9 est contre Rybka 2.4MP en 8 threads (53,3%) \u2014 les deux moteurs tournant sur le m\u00eame hardware, l'affrontement est un test algorithmique pur. Wasp s'impose de justesse face au moteur qui a domin\u00e9 le monde entier de 2005 \u00e0 2011. Contre Naum 4.2 sur Q6600 4 CPU (64,3%), Wasp impose sa sup\u00e9riorit\u00e9 hardware malgr\u00e9 un adversaire issu d'un algorithme particuli\u00e8rement solide. Les scores \u00e9crasants contre Shredder 10 mono-thread (92,9%) et Glaurung 2.2 (93,3%) illustrent la domination sans partage d'un moteur 8 threads sur Ryzen 9 face \u00e0 des adversaires sans parall\u00e9lisme ou sur hardware inf\u00e9rieur. Avec 3297 Elo sur un pool moyen \u00e0 3103, Wasp 2.01 \u00e9tablit le record absolu de performance de ce laboratoire.<\/p>\n <\/div>\n <\/div>\n\n \n <div class=\"section-title\">Profil Technique \u2014 Wasp (John Stanback)<\/div>\n <div class=\"section-inner\">\n <div class=\"innov-grid\">\n <div class=\"innov-card\">\n <div class=\"innov-title\">Architecture alpha-b\u00eata classique optimis\u00e9e<\/div>\n <p>Wasp de John Stanback est un moteur alpha-b\u00eata pure breed, d\u00e9velopp\u00e9 \u00e0 partir des ann\u00e9es 2010. Sa force r\u00e9side dans une impl\u00e9mentation soign\u00e9e de la recherche it\u00e9rative, une table de transposition tr\u00e8s bien dimensionn\u00e9e et une scalabilit\u00e9 MP excellente \u2014 ce qui explique son comportement exceptionnel sur hardware \u00e0 haute fr\u00e9quence et large cache.<\/p>\n <\/div>\n <div class=\"innov-card\">\n <div class=\"innov-title\">Affinit\u00e9 remarquable avec le V-Cache<\/div>\n <p>Le gain observ\u00e9 entre le 1800X et le 7950X3D (+138 Elo, vs +33 attendus par le seul NPS) sugg\u00e8re que Wasp exploite le cache L3 de fa\u00e7on particuli\u00e8rement intensive. Les 96 Mo de V-Cache permettent \u00e0 la table de transposition de rester enti\u00e8rement en cache chaud \u2014 un avantage disproportionn\u00e9 pour les moteurs qui y acc\u00e8dent tr\u00e8s fr\u00e9quemment.<\/p>\n <\/div>\n <div class=\"innov-card\">\n <div class=\"innov-title\">Scalabilit\u00e9 MP sup\u00e9rieure \u00e0 Rybka<\/div>\n <p>\u00c0 NPS total comparable (8 threads Ryzen 9), Wasp 2.01 surpasse Rybka 2.4MP de 67 Elo (3297 vs 3230). D\u00e9velopp\u00e9 plus tard que Rybka MP, Wasp b\u00e9n\u00e9ficie d'une impl\u00e9mentation parall\u00e8le encore plus efficace sur l'ensemble des plateformes SSDF test\u00e9es.<\/p>\n <\/div>\n <div class=\"innov-card\">\n <div class=\"innov-title\">S\u00e9rie en progression continue<\/div>\n <p>De Wasp 2.01 (SSDF 2960 sur Athlon) \u00e0 Wasp 3.5 (~3230 sur 1800X) et Wasp 4.5, la s\u00e9rie d\u00e9montre une am\u00e9lioration algorithmique constante. La version 2.01 reste l'une des plus mesur\u00e9es du SSDF, avec des entr\u00e9es sur trois hardware distincts.<\/p>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div class=\"section-title\">Chronologie Wasp \u2014 Mesures SSDF<\/div>\n <div class=\"section-inner\">\n <ul class=\"timeline\">\n <li><span class=\"tl-year\">~2012<\/span><span class=\"tl-event\">John Stanback publie les premi\u00e8res versions de <strong>Wasp<\/strong>. Entr\u00e9e progressive dans les classements SSDF et CCRL.<\/span><\/li>\n <li><span class=\"tl-year\">2018<\/span><span class=\"tl-event\"><strong>Wasp 2.01 \u2014 Athlon 1.2 GHz<\/strong> : <strong>2960 Elo SSDF<\/strong> (480 parties). Premi\u00e8re mesure officielle sur le hardware de r\u00e9f\u00e9rence historique.<\/span><\/li>\n <li><span class=\"tl-year\">2018\u201319<\/span><span class=\"tl-event\"><strong>Wasp 2.01 \u2014 Q6600 4 CPU<\/strong> : <strong>3065 Elo SSDF<\/strong> (404 parties). +105 Elo vs Athlon.<\/span><\/li>\n <li><span class=\"tl-year\">2018\u201319<\/span><span class=\"tl-event\"><strong>Wasp 2.01 \u2014 Ryzen 7 1800X 8 threads<\/strong> : <strong>3159 Elo SSDF<\/strong> (726 parties). +199 Elo vs Athlon \u2014 scalabilit\u00e9 MP sup\u00e9rieure \u00e0 la moyenne de la liste.<\/span><\/li>\n <li><span class=\"tl-year\">2019<\/span><span class=\"tl-event\"><strong>Wasp 3 \/ 3.5 \u2014 1800X<\/strong> : progression algorithmique continue vers ~3230 Elo sur 1800X.<\/span><\/li>\n <li><span class=\"tl-year\">2022+<\/span><span class=\"tl-event\"><strong>Wasp 4.5 \u2014 1800X<\/strong> : appara\u00eet dans les listes SSDF 2022-12 avec des gains continus.<\/span><\/li>\n <li><span class=\"tl-year\">2026<\/span><span class=\"tl-event\">Mesure exp\u00e9rimentale : <strong>Wasp 2.01, 8 threads, Ryzen 9 7950X3D<\/strong> \u2014 performance de <strong>3297 \u00b1 20 Elo<\/strong>. +337 pts vs Athlon 1.2 GHz, +138 pts vs 1800X 8T. Record absolu du laboratoire Chroniques Software.<\/span><\/li>\n <\/ul>\n <\/div>\n\n \n <div class=\"section-inner\" style=\"padding-top: 0;\">\n <div class=\"quote-box\">\n <p>\"Wasp 2.01 sur 8 threads du Ryzen 9 7950X3D atteint 3297 Elo \u2014 soit 337 points de plus que sur Athlon 1.2 GHz, et 138 de plus que sur 1800X 8 threads. Le V-Cache 3D semble agir comme un multiplicateur de force exceptionnel pour ce moteur, bien au-del\u00e0 de ce que le simple ratio NPS laisserait pr\u00e9voir.\"<\/p>\n <span class=\"quote-src\">\u2014 Laboratoire Chroniques Software, Gauntlet maison 2026<\/span>\n <\/div>\n <div class=\"quote-box\">\n <p>\"\u00c0 hardware \u00e9gal (Ryzen 9 7950X3D, 8 threads), Wasp 2.01 d\u00e9passe Rybka 2.4MP de 67 Elo \u2014 un r\u00e9sultat qui inverse la hi\u00e9rarchie attendue. Sur Athlon 1.2 GHz, Rybka 2.3.1 (2920) et Wasp 2.01 (2960) \u00e9taient quasi \u00e0 \u00e9galit\u00e9. Sur le Ryzen 9 avec V-Cache, Wasp tire davantage parti du cache massif que Rybka \u2014 une illustration parfaite de la fa\u00e7on dont l'architecture hardware moderne peut redistribuer les cartes entre moteurs classiques.\"<\/p>\n <span class=\"quote-src\">\u2014 Chroniques Software, Analyse comparative Rybka vs Wasp, 2026<\/span>\n <\/div>\n <\/div>\n\n <div class=\"footer-note\">\n Exp\u00e9rience \"Chroniques Software\" \u2014 Laboratoire 2026 \u2014 Wasp 2.01 (8 threads) sur AMD Ryzen 9 7950X3D \u2014 Performance confirm\u00e9e : <strong>3297 \u00b1 20 Elo<\/strong> (73 parties, \u03c3 = 400 \u00d7 \u221a(p\u00b7(1\u2212p)\/N)). Donn\u00e9es SSDF : SSDF 2018-10 & 2019-02.\n <\/div>\n\n <\/div>\n<\/div>\n<\/body>\n<\/html>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Meilleure performance du laboratoire : 5 victoires, 0 d\u00e9faite sur un pool moyen \u00e0 3103 Elo. Wasp s’impose notamment face \u00e0 Rybka 2.4MP en 8 threads sur m\u00eame hardware (53,3%) \u2014 un duel algorithmique pur. Les mesures SSDF officielles (2960 sur Athlon, 3065 sur Q6600, 3159 sur Ryzen 7 1800X) confirment une progression r\u00e9guli\u00e8re de ~35 Elo par doublement de NPS. Le V-Cache 3D du 7950X3D fait le reste.<\/p>\n","protected":false},"author":1,"featured_media":3475,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":""},"categories":[37],"tags":[],"rttpg_featured_image_url":{"full":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn.png",1136,941,false],"landscape":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn.png",1136,941,false],"portraits":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn.png",1136,941,false],"thumbnail":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn-150x150.png",150,150,true],"medium":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn-300x249.png",300,249,true],"large":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn-1024x848.png",1024,848,true],"1536x1536":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn.png",1136,941,false],"2048x2048":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn.png",1136,941,false],"neve-blog":["https:\/\/www.chess.lumn.eu\/wordpress\/wp-content\/uploads\/2026\/03\/Gemini_Generated_Image_lgfnc5lgfnc5lgfn-930x620.png",930,620,true]},"rttpg_author":{"display_name":"valterd","author_link":"https:\/\/www.chess.lumn.eu\/wordpress\/author\/valterd\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.chess.lumn.eu\/wordpress\/category\/soft\/\" rel=\"category tag\">Soft<\/a>","rttpg_excerpt":"Meilleure performance du laboratoire : 5 victoires, 0 d\u00e9faite sur un pool moyen \u00e0 3103 Elo. Wasp s'impose notamment face \u00e0 Rybka 2.4MP en 8 threads sur m\u00eame hardware (53,3%) \u2014 un duel algorithmique pur. Les mesures SSDF officielles (2960 sur Athlon, 3065 sur Q6600, 3159 sur Ryzen 7 1800X) confirment une progression r\u00e9guli\u00e8re de…","_links":{"self":[{"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/posts\/3469"}],"collection":[{"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/comments?post=3469"}],"version-history":[{"count":4,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/posts\/3469\/revisions"}],"predecessor-version":[{"id":3476,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/posts\/3469\/revisions\/3476"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/media\/3475"}],"wp:attachment":[{"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/media?parent=3469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/categories?post=3469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.chess.lumn.eu\/wordpress\/wp-json\/wp\/v2\/tags?post=3469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}