{"paper":{"title":"Improving Multi-Application Concurrency Support Within the GPU Memory System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Adwait Jog, Christopher J. Rossbach, Jayneel Gnadhi, Joshua Landgraf, Onur Mutlu, Rachata Ausavarungnirun, Saugata Ghose, Vance Miller","submitted_at":"2017-08-16T14:33:41Z","abstract_excerpt":"GPUs exploit a high degree of thread-level parallelism to hide long-latency stalls. Due to the heterogeneous compute requirements of different applications, there is a growing need to share the GPU across multiple applications in large-scale computing environments. However, while CPUs offer relatively seamless multi-application concurrency, and are an excellent fit for multitasking and for virtualized environments, GPUs currently offer only primitive support for multi-application concurrency. Much of the problem in a contemporary GPU lies within the memory system, where multi-application execu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.04911","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}