{"article":{"annotation":{"article_id":"compilemask-transformer-attention-masking-2026","available_at":"2026-10-13T01:40:21.308279Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"5a89817510cbf460605095b2b19f78a5fc2fab0aedeb08e5d6e5f14c22c2a2cb","input_sha256":"46154885e980e79d9d3608bcbe68ac21d3719a323c7d9d1afe3a77486b0befc0","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. Unknown country/city/coordinates remain absent; no automatic geocoding.","Article geometries keep their stated precision and methodology; reproducing them is not independent coordinate verification."],"method":"controlled-rules-v1","places":[{"admin1":null,"city":null,"coordinate_note":null,"coordinate_reference_system":"OGC:CRS84","coordinate_source":null,"country":"CN","evidence":[{"field":"country","language":"en","note":"Explicit preserved editorial country/region; no city or national centroid inferred","source_urls":["https://arxiv.org/abs/2610.13474"]}],"geometry":null,"id":"iso3166-1:CN","kind":"country-or-area","labels":{"ar":"الصين","en":"China","es":"China","fr":"Chine"},"match_status":"candidate","precision":"regional","role":"coverage","uncertainty_m":null}],"rules_sha256":"fb5ad3c27c91cb840f7a0a05f7f64a5cb26ad0374409ff9457f277c7092e22b4","schema_version":1,"subjects":[{"concept_id":"medtop:20000233","confidence":null,"confidence_method":null,"evidence":[{"field":"en.title+en.summary","language":"en","note":"Subject suggested from the title or summary: Telecommunications","source_urls":["https://arxiv.org/abs/2610.13474"]}],"method":"controlled-rules-v1","rule_id":"telecommunications","status":"candidate"},{"concept_id":"medtop:13000000","confidence":null,"confidence_method":null,"evidence":[{"field":"category+topics","language":"en","note":"Preserved editorial category/topic; broad candidate only","source_urls":["https://arxiv.org/abs/2610.13474"]}],"method":"controlled-rules-v1","rule_id":"technology-broad","status":"candidate"}],"taxonomy_revision":"1f2db31d811fca07e99b16d402c10e2cc2965c9df1c7b41d9be348b40a24e7fb","taxonomy_version":"IPTC Media Topics 2026-Q2"},"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=ar","category":"technology","content":{"key_points":[],"paragraphs":["تستخدم أعباء المحوّلات أقنعة مختلفة لتحديد الرموز التي يمكنها الانتباه بعضها إلى بعض. يتيح CompileMask للمستخدمين وصف القواعد بلغة قائمة على المناطق؛ ويستخرج المترجم فترات الرموز المرئية مسبقاً ثم يمرر واصفاً موجزاً إلى نواة الانتباه على GPU أثناء التشغيل.","على NVIDIA Blackwell عند طول تسلسل 32 ألفاً، أبلغت الدراسة عن أداء يفوق Flex-FA4 بمقدار 1.44 مرة لـHSTU و2.13 لنموذج مكافأة ببادئة مشتركة و2.87 لـCLEAR. واحتفظت الطريقة بـ85–89% من أداء FA4 الأصلي في الانتباه السببي. تقتصر المقارنات على الأقنعة والعتاد المحددين ولا تثبت المكسب نفسه لكل أعباء المحوّلات."],"sections":[]},"corrections":[],"country":"CN","data":{"blocks":[{"columns":[{"key":"attention_mode","label":{"ar":"نوع الانتباه","de":"Aufmerksamkeitsmodus","en":"Attention mode","es":"Tipo de atención","fr":"Type d’attention","pt":"Modo de atenção","tr":"Dikkat türü"},"language":"en","type":"text"},{"key":"native_fa4_percent","label":{"ar":"النسبة المحتفظ بها من أداء FA4 الأصلي","de":"Erhaltener Anteil des nativen FA4-Durchsatzes","en":"Native FA4 throughput retained","es":"Proporción del rendimiento FA4 nativo conservada","fr":"Part du débit FA4 natif conservée","pt":"Parcela do débito FA4 nativo mantida","tr":"Yerel FA4 veriminin korunan bölümü"},"type":"number","unit":"percent"}],"description":{"ar":"أعباء انتباه قِيست عند طول 32 ألفاً؛ القيم خاصة بالدراسة.","de":"Aufmerksamkeitslasten bei einer Länge von 32.000; die Werte gelten für diese Studie.","en":"Attention workloads measured at length 32K; values are specific to the study.","es":"Cargas de atención medidas con longitud 32.000; los valores son específicos del estudio.","fr":"Charges d’attention mesurées à une longueur de 32 000; les valeurs sont propres à l’étude.","pt":"Cargas de atenção medidas com comprimento de 32 mil; os valores são específicos do estudo.","tr":"32 bin uzunlukta ölçülen dikkat iş yükleri; değerler çalışmaya özgüdür."},"id":"attention-benchmark","methodology":{"ar":"اختُبرت أربعة أنماط للأقنعة على وحدات NVIDIA Blackwell بأطوال تسلسل من 1K إلى 32K؛ والتسريعات مقارنة بخط أساس Flex-FA4 في الورقة.","de":"Vier Maskenmuster wurden auf NVIDIA-Blackwell-GPUs bei Sequenzlängen von 1K bis 32K getestet; die Beschleunigungen beziehen sich auf die Flex-FA4-Referenz der Studie.","en":"Four mask patterns were tested on NVIDIA Blackwell GPUs at sequence lengths from 1K to 32K; speedups are relative to the paper’s Flex-FA4 baseline.","es":"Se probaron cuatro patrones de máscara en GPU NVIDIA Blackwell, con secuencias de 1K a 32K; las aceleraciones se comparan con la referencia Flex-FA4 del artículo.","fr":"Quatre motifs de masque ont été testés sur GPU NVIDIA Blackwell, pour des séquences de 1K à 32K; les accélérations sont relatives à la référence Flex-FA4 de l’article.","pt":"Foram testados quatro padrões de máscara em GPUs NVIDIA Blackwell, com sequências de 1K a 32K; os ganhos são relativos à referência Flex-FA4 do artigo.","tr":"NVIDIA Blackwell GPU’larda dört maske deseni, uzunlukları 1K–32K arasında olan iş yükleriyle karşılaştırıldı; hızlanmalar makalede belirtilen Flex-FA4 taban çizgisine göredir."},"rowTranslations":[{"attention_mode":{"ar":"الانتباه السببي، الحد الأدنى","de":"Kausale Aufmerksamkeit, Untergrenze","en":"Causal attention, lower bound","es":"Atención causal, límite inferior","fr":"Attention causale, borne basse","pt":"Atenção causal, limite inferior","tr":"Nedensel dikkat, alt sınır"}},{"attention_mode":{"ar":"الانتباه السببي، الحد الأعلى","de":"Kausale Aufmerksamkeit, Obergrenze","en":"Causal attention, upper bound","es":"Atención causal, límite superior","fr":"Attention causale, borne haute","pt":"Atenção causal, limite superior","tr":"Nedensel dikkat, üst sınır"}}],"rows":[{"attention_mode":"Causal attention, lower bound","native_fa4_percent":85},{"attention_mode":"Causal attention, upper bound","native_fa4_percent":89}],"sourceUrls":["https://arxiv.org/abs/2610.13474"],"title":{"ar":"مقارنة أقنعة الانتباه","de":"Vergleich von Aufmerksamkeitsmasken","en":"Attention-mask comparison","es":"Comparación de máscaras de atención","fr":"Comparaison des masques d’attention","pt":"Comparação de máscaras de atenção","tr":"Dikkat maskesi kıyaslaması"},"type":"table","updatedAt":"2026-10-13T01:31:44Z"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026/data/attention-benchmark?lang=ar&format=csv","json":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026/data/attention-benchmark?lang=ar&format=json"},"id":"attention-benchmark"}],"data_types":["table"],"editorial_illustration":{"alt":"رسم توضيحي مفاهيمي للتكنولوجيا والمعالجات والمعلومات 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باحثون في JD.com وجامعة بكين للبريد والاتصالات CompileMask، وهو مترجم يربط أقنعة الانتباه المرنة بنوى GPU فعالة. وقاست تجارب على Blackwell أداء أعلى من Flex-FA4 في أنماط عدة.","text":"طوّر باحثون في JD.com وجامعة بكين للبريد والاتصالات CompileMask، وهو مترجم يربط أقنعة الانتباه المرنة بنوى GPU فعالة. وقاست تجارب على Blackwell أداء أعلى من Flex-FA4 في أنماط عدة.\n\nتستخدم أعباء المحوّلات أقنعة مختلفة لتحديد الرموز التي يمكنها الانتباه بعضها إلى بعض. يتيح CompileMask للمستخدمين وصف القواعد بلغة قائمة على المناطق؛ ويستخرج المترجم فترات الرموز المرئية مسبقاً ثم يمرر واصفاً موجزاً إلى نواة الانتباه على GPU أثناء التشغيل.\n\nعلى NVIDIA Blackwell عند طول تسلسل 32 ألفاً، أبلغت الدراسة عن أداء يفوق Flex-FA4 بمقدار 1.44 مرة لـHSTU و2.13 لنموذج مكافأة ببادئة مشتركة و2.87 لـCLEAR. واحتفظت الطريقة بـ85–89% من أداء FA4 الأصلي في الانتباه السببي. تقتصر المقارنات على الأقنعة والعتاد المحددين ولا تثبت المكسب نفسه لكل أعباء المحوّلات.","title":"CompileMask يحسّن الأداء مع أقنعة انتباه مخصصة للمحوّلات","topics":[],"translations":[{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=tr","language":"tr","url":"https://newsverum.com/tr/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=en","language":"en","url":"https://newsverum.com/en/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=ar","language":"ar","url":"https://newsverum.com/ar/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=fr","language":"fr","url":"https://newsverum.com/fr/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=es","language":"es","url":"https://newsverum.com/es/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=de","language":"de","url":"https://newsverum.com/de/news/compilemask-transformer-attention-masking-2026"},{"api_url":"https://newsverum.com/api/v1/articles/compilemask-transformer-attention-masking-2026?lang=pt","language":"pt","url":"https://newsverum.com/pt/news/compilemask-transformer-attention-masking-2026"}],"url":"https://newsverum.com/ar/news/compilemask-transformer-attention-masking-2026"},"version":"1"}