lukasz - Slashdot User

Comment Re:Big deal, it wouldn't be the first (Score 2) 243

by lukasz on Tuesday July 21, 2020 @08:55PM (#60317057) Attached to: COVID-19 Vaccines With 'Minor Side Effects' Could Still Be Pretty Bad

It looks like your scientist friend was mis-informed. ChAdOx1 doesn't do any editing so there's no chance for off-target editing. Adenoviruses might be used for gene therapy (and then off-target editing is of concern) but this is *not* what vaccine does.

Comment Intel's Altera acquisition (Score 1) 383

by lukasz on Thursday June 25, 2015 @04:24PM (#49989271) Attached to: Interview: Ask Linus Torvalds a Question

Any thoughts about this ? Does it have any chance to bring (hardware) reconfigurable computing to the masses ? In principle, FPGAs can be made into general purpose coprocessors but, in practice, they remain mostly within their own niche, quite well isolated from the mainstream programming. One of the reasons seems to be apparent cultural differences between programming and hardware design worlds. Will acquisition of Altera by Intel somehow result in bringing these two closer ?

After Learning Java Syntax, What Next? 293

Posted by timothy on Sunday February 21, 2010 @09:31AM from the nice-hot-bath dept.

Niris writes "I'm currently taking a course called Advanced Java Programming, which is using the text book Absolute Java, 4th edition, by Walter Savitch. As I work at night as a security guard in the middle of nowhere, I've had enough time to read through the entire course part of the book, finish all eleven chapter quizzes, and do all of the assignments within a month, so all that's left is a group assignment that won't be ready until late April. I'm trying to figure out what else to read that's Java related aside from the usual 'This is how to create a tree. This is recursion. This is how to implement an interface and make an anonymous object,' and wanted to see what Slashdotters have to suggest. So far I'm looking at reading Beginning Algorithms, by Simon Harris and James Ross."

AMD RV790 Architecture To Change GPGPU Landscape? 102

Posted by ScuttleMonkey on Monday March 09, 2009 @03:32PM from the continuing-the-leapfrog-process dept.

Vigile writes "To many observers, the success of the GPGPU landscape has really been pushed by NVIDIA and its line of Tesla and Quadro GPUs. While ATI was the first to offer support for consumer applications like Folding@Home, NVIDIA has since taken command of the market with its CUDA architecture and programs like Badaboom and others for the HPC world. PC Perspective has speculation that points to ATI addressing the shortcomings of its lineup with a revised GPU known as RV790 that would both dramatically increase gaming performance as well as more than triple the compute power on double precision floating point operations — one of the keys to HPC acceptance."

Comment Re:1000+ a day is trivial have you thought of amaz (Score 1) 298

by lukasz on Monday March 02, 2009 @01:20PM (#27041733) Attached to: Best Solution For HA and Network Load Balancing?

ok... maybe I'm missing something, but what's wrong with using httpd2 for proxying/load balancing ? It seems to provide both ?

lukasz

Comment Re:Cell Processor (Score 1) 222

by lukasz on Saturday December 18, 2004 @08:59PM (#11127328) Attached to: Intel Expands Core Concept for Chips

>This is largely horse pucky. FPGAs are a trade off of efficiency for generality. FPGA based

uh... the same holds for von Neumann's CPU architecture ;o)

>coprocessors only provide a benefit where the algorithm can be implemented more efficiently in
>logic than conventional code and it's done at a high enough frequency to warrant the trouble. Few
>situations on the desktop meet these criteria.

'situations on the desktop' a quite well handled by the contemporary CPUs. One can only type that fast.... Desktop is not an issue, no matter multi core CPUs, Cell Processor, FPGA based solutions...

>The only situation that comes to mind is video compression/decompression but that is already

The only 'desktop situation'. There's life beyond desktop....

>accelerated quite well by something on the other end of the efficiency/generality spectrum: the GPU.

...like a bunch of engineering/scientific computions that, in places, are embarassingly parallel and, at the same time, embarassingly simple so that dedicating entire Beowulf node to the unit computation is a waste.

Just as example - check TimeLogic's page (http://www.timelogic.com/)- a large class of bioinformatic computations can be accelerated by 2 orders of magnitude. Note, that it translates into substituting Beowulf clusters
with a single FPGA-based accelerator board. Hardly horse puckey, I'd say...

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