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About Buddima

  • Title
  • Birthday 1993-02-20

Profile Information

  • Gender
  • Location
    Sri Lanka
  • Occupation
    Research student


  • CPU
  • Motherboard
    Gigabyte Z390 Aorus Elite
  • RAM
    (2x16GB) Corsair vengence LPX 2266MHz
  • GPU
    Intel UHD
  • Case
    Carbide 275R
  • Storage
    Team L5 lite 250GB
  • PSU
    Corsair TX550m 80+ Gold
  • Display(s)
    Viewsonic VA2259-22"
  • Cooling
    Cryorig H7 Quad Lumi
  • Operating System
    Ubuntu 18.0, Windows 10

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  1. Did you go through the upgrade? Did it work? I have a Toshiba Satellite :L50A with 4200M and thought of giving this a try (just for fun )...I've been using this laptop since january 2014 and so far hasn't run into any trouble. Upgraded the ram to 6GB from 4 and put in an SSD replacing the slow HDD and am getting better performance compared to newer i3 models. Maybe a CPU upgrade can pull this trough another year or two... ..Why not reduce e waste and save some money at the same time..
  2. Thank you. I think I now have all the information I needed. Very much appreciate the helpful comments.
  3. Thanks for all the helpful tips guys. I found a used Tesla K40 on amazon for 1/4th the price of an RTX 4000. I'm also looking into the services being offered by AWS and BOINC. Just a few small concerns though. In any case if I try to buy and install a K40 to my system, would the mounting be any different from that of a regular desktop graphics card (say a quadro P620 or RTX 2080)? Also what would be considered as safe temperatures for a K40 to run under. During the night time and weekends, all air conditioning in the university will be shut down and the ambient temperature would be close to 33-35 Celsius usually, while I plan to use the system 24x7. I am hoping to attach an exhaust fan from the rear end of the card to suck air through the heat sink (but I have no idea regarding the required flow rate) or to remove the plastic housing and attach two small fans to blow directly onto the heat sink as done in gaming GPUs. Which should be the more reliable and recommendable option. I have never physically seen a server grade system so am not familiar with the mounting mechanisms or thermal solutions except for the knowledge that they are typically passively cooled. Thank you
  4. Thank you. I shall look into that. Really appreciate it guys I had not considered that. Thanks There is no one that I know of as of yet. Except for AWS as mentioned by Stewie in the previous reply.
  5. Hi, thank you for the reply. Currently I am using mixed precision where both FP64 and FP32 are being used. Yes, it would be ideal to go for FP64, however with current resources I have been using the mixed option where the computations being done are reasonably accurate since my systems are homogeneous. Hence I am looking more towards FP32 performance.
  6. Hi guys, I'm sorry if this is not a relevant topic for this forum as I am new here. I'll explain my problem as follows. Currently I'm working on my PhD right now which is partially funded through a government grant and am having difficulties buying computational hardware. 1. I am using classical molecular dynamics (mainly) to study one dimensional semiconductor nano-materials for thermoelectric applications. I am mostly looking into Si nano-wires and thermal conductivity suppression through diameter modulation. I'll provide details on exactly what I'm doing if required. 2. I am in Sri-Lanka and just started the PhD (I am the first student studying this field from the department although my supervisor followed the same field and is guiding me through the process). 3. Currently, I am using a workstation available in the department Intel Xeon-W2155 (32GB ram) with quadro P620 graphics card and also a PC which I built through my own expenses (i9 9900K without a GPU). 4. I am currently being paid a stipend sufficient to account for my living costs through a grant. 5. However, as I keep working on the simulations, I now understand that I am seriously being limited by the available computational power. 6. I am also saving money to buy a Quadro RTX 4000 (which is the maximum I can go for) but would probably have to wait for another 5-6 months until I can afford it. 7. Would anyone please consider if it would be possible to provide me with some sort of assistance in obtaining better computational capabilities (CPU based or GPU based both works). Either by providing remote access to perform the simulations or by providing me with some decent equipment which may be getting discarded ( I am willing to pay a reasonable amount along with shipping and wouldn't mind trying to repair a broken graphics card even if any are available to be spared). 8. I am open for suggestions as well and would be able to provide a written document explaining the situation through the head of the department if required. 9. I am also open to acknowledging any assistance in research articles which may be published. I would very much appreciate it if someone considers assisting me on this to some extent. Also, I understand that excess computational power is not something that is freely available and also that what I am asking for may be way too much to be provided. Thank you
  7. The Razer Blade definetley.... I really can use an upgrade from my outdated i5-4500M to run OpenFoam flow simulations.