|3063rd/3113||Giorgino et al, J. Chem. Theory Comput, 2012||cancer|
|3389th/5798||Sadiq et al, PNAS 2012||hiv|
|1801st/1995||Venken et al, JCTC 2013||hiv|
|1886th/3349||Buch et al, JCIM 2013||cancer|
|3741st/4477||Pérez-Hernández et al, JCP 2013||methods|
|564th/2163||Bisignano et al. JCIM 2014||methods|
|369th/1283||Doerr et al. JCTC 2014||methods|
|573rd/2838||Stanley et al, Nat Commun 2014||cancer|
|1453rd/3611||Ferruz et al., JCIM 2015||methods|
|1313th/4128||Ferruz et al., Sci Rep 2016||brain|
|3083rd/4815||Stanley et al., Sci Rep 2016||cancer|
|4319th/4730||Noe et al., Nat Chem 2017||methods|
Parallel Programming and Applied Mathematics, PPAM for short, is a biennial conference started in 1994, with the proceedings published by Springer in the Lecture Notes in Computer Sciences series, see PPAM. It is sponsored by IBM, Intel, Springer, AMD, RogueWave, and HP. The last conference had a fee of 420 EUR.
It is held in conjunction with 6th Workshop on Language based Parallel Programming.
Prominent speakers are:
Day 2 of the conference had below talks. Prof. Dr. Bernd Brügmann gave a short introduction. He pointed out that Jena is number 10 in Physics in Germany, has ca. 100.000 inhabitants, and 20.000 students.
- Dr. Karl Rupp, Vienna, Lessons Learned in Developing the Linear Algebra Library ViennaCL. Notes: C++ operator overloading normally uses temporary, special trickery necessary to circumvent this, ViennaCL not callable from Fortran due to C++/operator overloading, eigen.tuxfamily.org, Karl Rupp’s slides, with CUDA 5+6 OpenCL and CUDA are more or less on par,
- Prof. Dr. Rainer Heintzmann, Jena, CudaMat – a toolbox for Cuda computations. Continue reading
As announced in Workshop Programming of Heterogeneous Systems in Physics, July 2014, I attended this two-day conference in Jena, Germany. Below are speakers and pictures with my personal notes.
The last workshop from 2011 had two high-profile speakers regarding CUDA technology: Dr. Timo Stich and Vasily Volkov. The 2014 workshop features Dr. Stich, Dr. Karl Rupp, Hans Pabst (Intel), and others.
Addendum 06-Aug-2014: See my notes taken at the workshop in
- Day 1, Workshop Programming of Heterogeneous Systems in Physics
- Day 2, Workshop Programming of Heterogeneous Systems in Physics
This article “CUDA-Enabled GPUs” made me check my GPU again using
CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 560" CUDA Driver Version / Runtime Version 6.0 / 5.0 CUDA Capability Major/Minor version number: 2.1 Total amount of global memory: 1023 MBytes (1072889856 bytes) ( 7) Multiprocessors x ( 48) CUDA Cores/MP: 336 CUDA Cores Continue reading
hgpu.org contains links to reviews, tutorials, research papers, program packages concerning various aspects of graphics and non-graphics (general purpose computing) using of GPU and related parallel architectures (FPGA, Cell processors etc.). The majority is on NVidia, see picture below.