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lost+found 04 4 drwxr-xr-x. 3 root root 4096 Nov 10 10:00 .. 05 4 -rw-r--r-- 1 root root 294 Nov 10 10:07 s3ql_passphrase 06 4 -rw-r--r-- 1 root root 243 Nov 10 10:07 s3ql_seq_no_1 07 4 -rw

.2% (53.2% cumulative) 20.1 GB 4.9% (58.0% cumulative) 22.4 GB 4.5% (62.5% cumulative) 24.6 GB 4.1% (66.7% cumulative) 26.8 GB 3.8% (70.5% cumulative) 29.1 GB 3.2% (73.7% cumulative) 31.3 GB 3.0% (76.6% cumulative) 33

: Tegra X1: 25.6GBps memory bandwidth HDMI 2.0 and HDCP 2.2 10W power Peak performance: 1,024GFLOPS with FP16; 512GFLOPS with FP32 ARM Cortex CPUs: Quad-core 64-bit ARM Cortex-A57

)]> select load_file('/etc/passwd'); +----------------------------------------------(...) + | load_file('/etc/passwd') (...) + | root:x:0:0:root:/root:/bin/bash daemon:x:1:1:daemon:/usr/sbin:/bin/sh bin:x:2:2

: "RSASSA-PKCS1-v1_5", 03 params: { 04 modulusLength: 512, 05 publicExponent: new Uint8Array([0x01, 0x00, 0x01]) 06 } 07 }; 08 var sigAlg = { 09 name: "RSASSA-PKCS1-v1_5", 10 params: { hash: "SHA-1

_limit): 20 local_dict['x'] = float(counter); 21 local_dict['y'] = float(counter + 1); 22 local_dict['z'] = float(counter + 2); 23 local_dict['value'] = 10.0 * float(counter); 24 my

getsockopt ... 17 Resolving symbol close ... 18 Resolving symbol epoll_wait ... 19 Resolving symbol select ... 20 All dynamic symbols could be resolved. 21 socket(2, 1, 6) = 3 22 Socket 3 will be Knockified

)         libpgmp.so => /opt/pgi/linux86-64/16.10/lib/libpgmp.so (0x00007f5bc5694000)         libnuma.so.1 => /lib64/libnuma.so.1 (0x00007f5bc5467000)         libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f5bc524

needed to reposition the read head is eliminated. The admin can monitor merging of I/O blocks with iostat -x. This assumes the use of the filesystem cache. In Listing 2, wrqm/s stands for write requests

Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis. ... media, and the entertainment industry, including Amazon Web Services, AOL, Apple, eBay, Facebook, Netflix, and HP. However, Hadoop 2.2.x is especially appealing for smaller companies with tight budgets ... Hadoop 2.x and its associated tools promise to deliver big data solutions not just to the IT-heavy big players, but to anyone with unstructured data and the need for multidimensional data analysis.