The TOP500 supercomputing list was just announced and IBM's BlueGene/L system has kept its crown. In fact, IBM's and the Department of Energy's co-developed monster at Lawrence Livermore has occupied the number 1 position since 2004. Of course, an upgrade was required boost the Linpack benchmark to 478.2 TFlop/s from the 280.6TFlop/s the machine was clocking just 6 months ago. The top 10 swath is dominated by the US, Sweden, and Germany with India breaking into the list for the first time at the number 4 position with its HP Cluster Platform 3000 BL460c system measuring 102.8TFlop/s.

[Via Impress]

It was but two years ago that we all sat in awe of IBM's beautiful 280.6-teraflop masterpiece, and it's finally safe to call that workhorse a thing of the past. Today, Big Blue announced the second-generation of its famed supercomputer (dubbed Blue Gene/P), which reportedly comes close to "tripling the performance of its predecessor." In an attempt to showcase its might, IBM suggested that 27 million clinical trials could be computed "in just one afternoon using a sliver of its full power." Additionally, the engineers went the extra mile by crafting a highly scalable system that comes in "at least seven times more energy efficient than any other supercomputer," but we're sure those 294,912 processors (each touting four PowerPC 450 CPUs) can churn through some energy when utilizing the whole petaflop. And just think, Sun probably thought the 500 or so teraflop production from its forthcoming Ranger would be the (momentary) top dog.

Read - IBM's Blue Gene/P, via CNET
Read - Sun's Ranger, via Wired

Efforts to model the human brain (on IBM's Blue Gene, ironically) haven't reached the point of finality just yet, but it looks like the supercomputer has already tackled a smaller, albeit similar task at the University of Nevada. The research team, which collaborated with gurus from the IBM Almaden Research Lab, have ran a "cortical simulator that was as big and as complex as half of a mouse's brain on the BlueGene L," and considering that it took about 8,000 neurons and 6,3000 synapses into consideration without totally crashing, it remains a fairly impressive achievement. Notably, the process was so intensive that it was only ran for ten seconds at a speed "ten times slower than real-time," and while the team is already looking forward to speeding things up and taking the whole mind into account, it was noted that the simulation (expectedly) "lacked some structures seen in an actual brain." Now, if only these guys could figure out how to mimic the brain and offer up external storage to aid our failing memories.

[Thanks, Richard L.]