Alex Woodie, HPC Wire, The 5 Minute Guide to Parallel and Vector Software Programming, here.
The series will cover a different aspect of HPC programming every week for 12 weeks with the new series called The Five Minute Guide to Parallel and Vector Software Programming. New episodes will come out every Wednesday through the middle of August.
Unknown Lamer, Slashdot, Apple update MacBooks and Mac Pro Desktop with Haswell, “Unified Thermal Core”, here.
“On the hardware side, Apple is updating its two MacBook Air devices; both the 11-inch and 13-inch versions will enjoy better battery life (up to 9 hours and 12 hours, respectively), thanks in no small part to having Intel’s new Haswell processors inside. They’ll also have 802.11ac WiFi on board. Both models have 1.3GHz Intel Core i5 or i7 (Haswell) processors, Intel HD Graphics 5000, 4GB of RAM, and has 128GB or 256GB of flash storage. Arguably the scene stealer on the desktop side of things is a completely redesigned Mac Pro. The 9.9-inch tall cylindrical computer boasts a new ‘unified thermal core’ which is designed to conduct heat away from the CPU and GPU while distributing it uniformly and using a single bottom-mounted intake fan. It rocks a 12-core Intel Xeon processor, dual AMD FirePro GPUs (standard), 1866MHz DDR3 ECC memory (60GBps), and PCIe flash storage with up to 1.25GBps read speeds. The system promises 7 teraflops of graphics performance, supports 4k displays, and has a host of ports including four USB 3.0, two gigabit Ethernet ports, HDMI 1.4, six Thunderbolt 2 ports that offer super-fast (20Gbps) external connectivity.”
Filippo Radicchi, PLOS one, Who Is the Best Player Ever? A complex Network Analysis of the History of Professional Tennis, here. Jim Downs is pleased.
We considered all matches played by professional tennis players between 1968 and2010, and, on the basis of this data set, constructed a directed and weighted network of contacts. The resulting graph showed complex features, typical of many real networked systems studied in literature. We developed a diffusion algorithm and applied it to the tennis contact network in order to rank professional players. Jimmy Connors was identified as the best player in the history of tennis according to our ranking procedure. We performed a complete analysis by determining the best players on specific playing surfaces as well as the best ones in each of the years covered by the data set. The results of our technique were compared to those of two other well established methods. In general, we observed that our ranking method performed better: it had a higher predictive power and did not require the arbitrary introduction of external criteria for the correct assessment of the quality of players. The present work provides novel evidence of the utility of tools and methods of network theory in real applications.