Transitive are the guys who came up with the immensely clever emulation software that allows MIPS code to run on x86 and Itanium platforms. Apple also licensed a version called Rosetta, which enables PowerPC code to run on their newer x86 machines. Intel and Sun are users as well, allowing legacy SPARC code to run on Solaris on x86.

IBM have been using Transitive software for a while, allowing legacy x86 code to run on their Power machines. So the news that IBM has bought transitive could herald some problems ahead, especially with IBM saying “IBM is evaluating Transitive’s other products as part of its overall Systems product strategy.”

Hmm. You could argue that, come on, MIPS for SGI and PowerPC for Apple died years ago, upgrade already. Maybe that’s true for Apple, but a lot of Silicon Graphics gear is bought for the long haul, and isn’t part of the usual 2-3 year cycle of upgrades that desktops and workgroup servers get. A lot of MIPS based kit is still in support and still being heavily used - although the market can’t grow any more, that installed base isn’t shrinking too rapidly either.

It’s unclear at this stage what effect IBM dropping non-Power support for Transitive would have. Presumably new customers with MIPS gear would be left in the cold (although they’ve left it a bit late to think about a migration) but with no new versions of IRIX coming out it’s doubtful the announcement would have any effect on existing users.

Apple appear to have licensed Transitive code as Rosetta and bundled it into OS X. With Snow Leopard (10.6) rumoured to totally drop PowerPC support, no longer having an emulation layer in the OS could be a non-issue.

Supercomputing 08 is on all this week, so there should be shed loads of interesting news coming out. It’s one of the high points of the geek year, even if you’re not a Silicon Graphics fan, and each year I’m gutted I can’t attend.

The latest news is from HPCwire, who have published their Reader’s Choice Awards. Silicon Graphics have been voted for three of them by HPCwire readers:

• Best HPC Server Product or Technology was awarded to the SGI Altix ICE 8200 blade server
• Best HPC Visualization Product or Technology went to Silicon Graphics RemoteVUE
• one of the Top 5 Vendors to Watch in 2009 is SGI

The entire VUE software suite is going to be really interesting - it’s another great breakthrough for SGI and it has some real potential. The Altix ICE gear has been slowly gaining traction and although clusters don’t strike me as impressive as large (traditional even?) supercomputers, they’re still damn complex and very interesting technology.

Way down in Middle Earth, Weta Digital picked up a Reader’s Choice award for Best Use of HPC in the Entertainment Industry.

As a life long Ferrari fan (and driver!) I’m pleased to see the HPCwire Editor’s Choice award for Best Use of HPC in the Automotive Industry has gone to the Ferrari F1 team.

You can read through the full list of awards at http://www.hpcwire.com/specialfeatures/sc08/offthewire/HPCwire_Announces_Annual_Readers_Choice_Awards_at_SC08.html

Concept cars have been around for a while. Every major motorshow, and vendors let their designers loose and parade around the results. Some of them are received so well they are actually made - I love the design that became the Lancia Stratos. Silicon Graphics seem to be going down this path with a fantastic piece of R&D madness at the Supercomputing 08 show.

Silicon Graphics have come up with the Molecule - 10,000 CPU cores in a single rack. Molecule uses the low power Intel Atom processor, which is more familiar from netbooks like the Asus EEE PC.

Much like Sun’s UltraSPARC T1 and T2 CPUs, such a high density of Atoms within a single system image would give massive horizontal scalability for multi-threaded applications - although Sun have yet to approach this sort of density.

SGI reckon Molecule has the following advantages:

• High concurrency with 20,000 threads of execution — 40 times more than a single rack x86 cluster system
• High throughput with 15TB/sec of memory bandwidth per rack — over 20 times faster than a single rack x86 cluster system
• Greater balance with up to three times the memory bandwidth/OPS compared to current x86 CPUs
• High performance with approximately 3.5 times the computational performance per rack
• Greener with low-watt consumer CPUs and low-power memory that deliver 7 times better memory bandwidth/watt
• Innovative Silicon Graphics Kelvin cooling technology, which enables denser packaging by stabilizing thermal operations in densely configured solutions

Molecule is still only a concept, but it’s cool for a number of reasons. First off it shows SGI are still capable of some pretty awesome R&D hackery. It could also point the way for the next generation of SGI’s single system image machines, like the Altix 4700s. You can check out the full press release at http://www.sgi.com/company_info/newsroom/press_releases/2008/november/project_kelvin.html

After the sad demise of Orion and their deskside super-cluster, maybe this will be the future of massively scalable computing? And with FPGAs becoming part of a large scale install, is this the fruit of Project Ultraviolet?

Silicon Graphics have just announced that more global shared memory is available with fewer CPUs on their Altix 4700 systems. Increased DIMM density now means you can get an Altix 4700 with 2TB of memory, with only 8 processors.

If you’ve got applications that require large amounts of memory but not much in the way of compute-intensive processes, this is very good news indeed.

Global shared memory is memory which is accessible from all processors/cores. So in an SGI Altix with 1024 processors and 4TB of RAM, any one of the 1024 CPUs can access any part of that 4TB of memory. This is due to the design of Silicon Graphics’ large scale systems, which are Single System Image (SSI) machines - all resources are shared.

Clusters work in a different way, where each node has ‘local’ CPU and memory, and this can’t be accessed from another node.

Both SSI and clusters can scale, but in different ways and with different workloads. Shared memory jobs, where you’re doing lots of memory I/O and you can peg your dataset in physical RAM, don’t scale well with clusters, whereas rendering (where discrete jobs can be chopped up and executed in batches) are just right for clusters but not SSI machines.

With lots of memory density enhancements coming down the line, I’m wondering when Silicon Graphics will break through the 4TB system memory barrier?

Kathy Lanterman has been CFO at Silicon Graphics since 2006, having been with the company over 10 years. She’s due to step down on November 10th, and will stay for a few weeks to help the transition to the new CFO. Kathy had been a VP and corporate controller since early 2002.

Replacing her is Greg Wood, who’s a bit of a wild card. He doesn’t appear to have much of a background with ‘hard’ technology companies, with a portfolio that includes marketing, DRM and interactive TV companies. He’s held executive financial positions for over 25 years, so clearly has lots of experience - but will this be a case of more new blood that doesn’t understand SGI’s niche, or new talent that can help the company grow into new markets?

One of the first moves when a company comes out of Chapter 11 restructuring, or acquires new investors on the board, is a shuffle of senior positions while the new board members flex their muscle. It would be easy to say that this is why Kathy is leaving, but she’s had a pretty tumultuous ride during tough times at Silicon Graphics, so I can’t blame her at all for wanting some time off.