속성:Observation
직접 확인한 결과를 적습니다. 원인에 대한 해석은 따로 적습니다.
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transparently exploiting device reserved memory for application performance in mobile systems 43e55454 +
Nexus S와 인기 Android 앱에서 기존 접근보다 app launch 성능을 개선했고 device memory reallocation을 수 milliseconds로 제한했다. 정확한 launch 개선율은 공개 초록에 없다. +
workloads=OPT/Llama 13B, 30B, 33B; NVIDIA A10G 24 GB; AMD EPYC 7R32 256 GB; baselines=state-of-the-art CPU-offload schemes; metrics=throughput; data-transfer cost; results=up to 3.39x throughput; 72.1% lower transfer cost +
모바일 구간 패킷 수를 최대 52%, 평균 페이지 로딩시간을 최대 37% 줄였다. +
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공개된 공식 초록 범위에서는 정량 결과를 확인할 수 없다. +
workloads=GNN training; DL recommendation inference; TensorFlow; PyTorch; baselines=replication design; partition design; metrics=training/inference performance; results=Average 1.93×/1.63×, up to 5.25×/3.45× vs replication/partition. +
understanding and mitigating covert and side channel vulnerabilities introduced by rowhammer def 0e272653 +
workloads=two constructed covert channels and a website-fingerprinting attack; baselines=two state-of-the-art RowHammer defenses and three proposed countermeasures; metrics=channel capacity and mitigation trade-offs; results=the preserved arXiv abstract reports 39.0 and 48.7 Kbps channel capacity; detailed attack-success and mitigation-overhead values require the exact full-text version. +
workloads=production population of over one million processors; baselines=existing production CPU testing practices; metrics=SDC incidence; reproducibility; feature vulnerability; trigger conditions; results=field taxonomy over >1M CPUs; no numeric fleet rate stated in accessible primary abstract +
workloads=function DAGs on heterogeneous harvested hosts; baselines=cloud-only FaaS; metrics=cost; latency/QoS; results=Up to 89.8% cost saving at a 90% resource cap. +
unicom a universally high performant i o completion mechanism for modern computer systems 9172fe3e +
workloads=Linux 6.5.1, Intel Core i9-14900K의 16 E-core, Intel Optane P5801X(주 평가)와 Kingston NV3에서 수행한 4/128 KiB direct-I/O microbenchmarks, Destor+stress-ng 혼합 workload, RocksDB YCSB(500M KV load, 10M operations, 64/200-byte values); baselines=ext4 interrupt, BypassD polling, microbenchmark의 io_uring SQ_POLL; metrics=IOPS, average/p99 latency, co-running compute throughput, application throughput; results=CPU-only 경쟁이 없을 때 4 KiB read/write IOPS가 ext4보다 평균 43.5%/34.9% 높았고 single-thread read latency는 4 KiB 42%, 128 KiB 17.4% 낮았다. CPU 경쟁 시 4 KiB read IOPS는 ext4보다 39.4%, BypassD보다 88.8% 높았지만 dedicated completion core 때문에 compute-thread 성능이 약 7.5% 낮았다. 32 C-thread에서는 BypassD 대비 82.7% 개선했다. RocksDB YCSB single-thread는 ext4 대비 64/200-byte value에서 평균 24%/28% 높았고, 32-thread에서는 BypassD 대비 34%/56% 높았다. +
workloads=disaggregated-memory workloads; names not stated in abstract; baselines=state-of-the-art disaggregated-memory designs; names not stated; metrics=average memory-access time; data amplification; results=up to 76.4% lower average memory-access time +
workloads=large-scale production ML inference workloads; baselines=existing GPU inference multiplexing methods; metrics=goodput; cost efficiency; latency-SLO compliance; scale; results=up to 2.6x goodput; up to 3.5x cost efficiency; scales to thousands of GPUs +
workloads=90%-GET KV workload; baselines=Memcached; Redis; metrics=ops/s per server CPU; results=1.3M ops/s vs 55K Memcached and 59K Redis on one CPU. +
utopia fast and efficient address translation via hybrid restrictive flexible virtual to physica 796873cf +
workloads=single-core evaluation described by the preserved official abstract; baselines=the baseline system and the best prior contiguity-aware translation scheme; metrics=performance; results=Utopia improves performance by 24% over baseline, while the prior scheme improves it by 13%; detailed workload, page-walk, row-buffer, area, and power figures require the exact full text and are not asserted here. +
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workloads=PCIe, DRAM, HBM, and network I/O on Alveo U280; baselines=Coyote; metrics=abstraction overhead; priority throughput; contention isolation; results=negligible overhead; maximum high-priority throughput preserved under contention +
KVM/SPICE, 8-vCPU VM, PARSEC `freqmine` 간섭 환경에서 하이퍼바이저 확장만으로 앱 실행시간을 최대 41%, 웹 탐색시간을 최대 31% 개선했다. guest 확장까지 사용하면 각각 최대 70%, 41% 개선했다. 비디오 프레임 드롭도 크게 줄었다. 반면 백그라운드 `freqmine`은 3–20% 느려졌다. +
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workloads=x86 and ARM NUMA workloads; baselines=no replication; manual page-table self-replication; metrics=application performance; replication overhead; results=At least the performance improvement of manual PTSR; exact aggregate not abstract-verified. +
we ain t afraid of no file fragmentation causes and prevention of its performance impact on mode 9a366dfb +
workloads=commercial SSD and emulator; 162 MB SQLite file with 10,011 fragments; baselines=conventional allocation; metrics=fragmentation-induced slowdown; results=3.5% slowdown vs 40% conventional. +
현재 공개 근거로 확인할 수 있는 것은 제목과 제한된 서지 메타데이터뿐이다. workload, baseline, metric, 정량 결과는 확인되지 않았다. +
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workloads=Meta production: trillions of calls/day, >100K servers; baselines=prior Meta FaaS architecture; metrics=CPU utilization; cost; latency; results=Production-scale deployment verified; abstract gives 66% prior average CPU utilization but no single aggregate speedup. +
workloads=BPF-KV and WiredTiger; baselines=conventional userspace I/O paths; metrics=throughput and latency; results=significant qualitative improvement; no exact number in official abstract +