Digital System Research


  • Jan 24, 2019 – DSR announces error correecting TPU variant. DSR has announced an error correcting TPU processor designated TPU-EC.  The TPU-EC is a breakthrough in ALU design since it allows continuous error detection and correction of matrix arithmetic.  The additional resources required by DSR’s error correcting technology is as low as 25% overhead compared to the 200% overhead of traditional triplication schemes.  Moreover, the error correction system of the TPU-ec is more capable than a triplication scheme as it can correct multiple errors in a single matrix operation without affecting the speed of processing or accuracy of results delivered by the TPU.  The TPU-EC is available as an FPGA library or IP suitable for ASIC and custom IC.  Performance specifications for the TPU-ec are expected 3rd quarter 2019.
  • April 6, 2018 – DSR reports significant breakthroughs with TPU development.   DSR is announcing it has made significant breakthroughs in Modular Computation which have significant impact for DSR’s new TPU matrix multiplier and other DSR technologies.  Eric Olsen, president of DSR states “The most I can say at this time is we’ve significantly increased our understanding of fixed point arithmetic.  Let me add these improvements only strengthen and bolster our position modular computation will become the preferred method of cloud-based neural network processing.  We’ve been off the fence for a long time here at DSR, but advancements like these tear the fence down”.
  • Jan 1, 2018 – DSR posts informative presentation describing basic RNS ALU design.  Computer systems which employ the newly emerging science of Modular Computation are unique and have surprisingly different computer architecture than conventional binary systems.  As always, it helps to start with some simple examples, and clear explanations of the some of the problems solved using IP developed by DSR.  Download it at: RNS_ALU_Design.
  • Oct 22, 2017 – DSR posts upgrade to its RNS-APAL software library.  The upgrade includes a few fixes and is accompanied with a revised RNS-APAL User Guide and Tutorial Guide V1.05.  See our downloads page.  DSR is now calling general purpose RNS arithmetic “modular computation“.
  • Oct 2, 2017 – Canadian patent office issues patents to DSR.  DSR is granted key Canadian patents in area of residue number processing and residue number computer systems.
  • Sept 25, 2017 – USPTO grants patent for improved multiplier and converter. Eric Olsen, president of DSR, states “Our licensed patent portfolio has grown again by the addition of a key patent for an improved RNS multiplier, which provides a means to process fractional quantities using completely modular arithmetic without carry.  Our combined portfolio of IP continues to grow as DSR continues its push to exploit this renewed technology.  Recently, we’ve taken what we know and we’re applying this to a new class of computing machine which targets AI and deep learning applications.  We’re still in the infancy stage of our hardware design, but initial results are quite impressive.”  DSR is a Nevada corporation engaged in design, development and licensing of residue based processor and other unique digital technologies.
  • July 19, 2016 – USPTO grants key patent underlying residue based product summation technology. Eric Olsen, president of DSR, states “We are happy the US patent office has recognized our licensing partners inventions relating to residue based product summation methods.  Because emerging technologies such as artificial intelligence rely on vast amounts of product summations, DSR is confident that residue based systems will emerge as a preferred methodology as it provides the fastest rates, lowest power consumption, highest accuracy and built in redundancy.  In fact, product summation is the new motivation behind the pursuit of residue based processing systems.”  DSR is a Nevada corporation engaged in design, development and licensing of residue based processors and other unique digital technologies.
  • April 7, 2015 – USPTO grants key patent underlying advanced residue based processor technology. Eric Olsen, president of DSR, states “We are happy the US patent office has recognized our technology by granting a key patent. Through a unique partnership, DSR acquires exclusive rights to sub-license the new technology for CPU and other arithmetic processing applications. This is an exciting time for DSR as we expect many more advancements in the months ahead”. DSR is engaged in design, development and licensing of residue based processors and other unique digital technologies.
  • January 19, 2015 – Digital System Research (DSR) to seek strategic partner. Foregoing conventional methods of venture capital funding. Mr. Eric Olsen, President and CEO of DSR states: “We are thrilled to unveil the first working residue processor demonstration to the world, and as a result of our success, we intend to seek a strategic partner relationship with a suitable high tech company already vested in research and development efforts”.
  • November 15, 2014 – Digital System Research unveils Rez-9 ALU performing general purpose calculations. Mr. Eric Olsen, CEO and president of DSR states “We are excited to unveil our Rez-9 ALU, the first residue number based processor capable of general purpose calculations. The Rez-9 ALU is easily programmed using the NIOS-II IDE environment from Altera, and in our first demonstration we show the ability of the Rez-9 processor to accurately depict Mandelbrot fractal images. The accuracy of the iterative calculations are stunning, and we are excited to see the processor concretely demonstrated”.
  • September 15, 2014 – Digital System Research (DSR) loses bid for free booth at the SC14 Emerging Technologies booth contest. Eric Olsen, president of DSR states: “We thank the SC14 Emerging Technologies committee for their time and consideration in evaluating our submission. However, we remain disappointed that DSR was not selected for the Emerging Technologies forum. One of the issues we face is the perception that our technology represents little more than prior art, and for that reason, we may have lost our bid. DSR has discovered something that appears quite implausible, that a small company has discovered a new method for machine based arithmetic where others have failed for over 55 years. We remain committed to proving to the world that our developments are quite real”.

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