... E5-2680 v4 series CPUs, 512 GB of memory, and 24 SFF disk drives plus two internal SATA boot drives and Cisco UCS VIC 1287 adapters, as shown in Fig. 3. Table 2 lists the software versions used. Table 2. Software versions Layer ...
... E5-2620 v4 (2.10 GHz, 8 cores): 1*8*2.10=16.8 implies this is good for a Ceph node with up to 16 OSDs Intel® Xeon® Processor E5-2680 v4 (2.40 GHz, 14 cores): 1*14*2.40 = 33.6 implies this is good for a Ceph node with up to 33 OSDs If ...
... (v4.6.1). Experiments were executed on a computer equipped with an Intel Xeon E5-2680 v4 2.4GHz 2×14-core processor and 128 GB of memory. Each proof attempt was limited to 300 s. Table 1 and Fig. 3 report the results. Table 1 shows the ...
... E5-2680 v4, each of which is equipped with 14 hardware cores that execute at 2.40GHz clock frequency. Each socket has access to a single address space of size 64 GB of DRAM. Therefore, the server has a NUMA node of in total 28 hardware ...
... E5-2699 v3 @ 2.3 GHz with 256GB of main memory. The second system hosts the latest Intel commodity chip with dual-socket 14-core Intel(R) Xeon(R) Broadwell CPU E5-2680 v4 @ 2.4 GHz with 128GB of main memory. The third system has the ...
... E5-2680 v4, (2) Intel Core I5-6500, (3) Nvidia TESLA P100, (4) Nvidia GeForce GTX 970, (5) Cambricon is a typical neural processor and. 372 C. Xu et al. 2 Related Work 3 Experiment Methodology.
... E5-2680 v4@2.40 GHz , 264 GB memory , two GeForce RTX 3090Ti graphics cards with 24 GB GPU memory . 3.2 Arousal Detection Performance Comparison In the field of arousal detection , most of the studies used PSG signals while our study ...
... E5- 2680 V4 CPU processor, maximum frequency 3.30 GHz, disk capacity 500 GB, config- uration CUDA10.1, cuDNN7.6 deep neural network acceleration library, deep learning framework using PyTorch. 4.2 Experimental Data The original data set ...