SPARC

SPARC

Created using Figma
Created using Figma
SPARC is web-based protocol for computational resources. It is powered by individuals with idle computer power earning rewards and reducing costs.
Risk: High
Oct 1, 2017
Oct 30, 2017
100% completed
$8 247 691
cap
goal
13% cap completed
Goal 22 600 ETH
Cap 222 600 ETH
past
  • 20000 SPARC
    =
    1 ETH
Token Details
Ticker
SPARC
Accepted Currencies
ETH
Company Details
Registered Country
Canada

About SPARC

SPARC is the first North American globally-distributed IaaS providing consumers with the most costeffective, flexible, and easily accessible cloud-based high-performance computing. To achieve this, we are

1) Initially leveraging existing demand and infrastructure. The Berkeley Open Infrastructure for Network Computing (BOINC) is a computing platform comprised of 1,128,897 compute nodes. At 17.1 petaFLOPS, it is the third most powerful supercomputer on Earth and supports computing projects in astrophysics, mathematics, and biology, for example. The alpha version of our network connects to the BOINC network and rewards participant nodes with Science Power and Research Coins (SPARC) for computational work performed. Researchers and developers requiring computing power purchase SPARC tokens from an exchange and attach them to their projects. These tokens are distributed to the participant nodes in proportion to work performed. SPARC tokens can then be exchanged directly for computing power from the network or traded for conventional currency on an exchange.

2) Recapturing wasted computing power. We have identified inefficiencies in existing blockchain currencies. For example, in the competition-based process of hashing a digital transaction on the Bitcoin network, approximately 5,000 peta hashes per second are discarded. This amount of wasted compute power is equivalent to approximately 64,000x the combined power of the Top 500 Supercomputers. Instead of hashing to determine proof-of-work, SPARC is compensating participant nodes for actual work performed. We are effectively recapturing wasted computing resources and making them available to science and industry.

3) Varying hardware allocation instead of varying pricing. Whereas Amazon EC2, Google Cloud Compute and other services vary the price as a function of system loads, our network varies the hardware dedicated to your service via an auction process. We allow you to set your price point and let the network compete for available jobs. This ensures 100% network usage, and potentially high rates of power at low cost without added setup for your project.

4) Expanding infrastructure by connecting new compute assets to our global cloud. Our platform is designed to operate across all intelligent devices; smart phones, tablets, laptops and computers connected to the SPARC network generate revenue for their owners by performing computations  for user projects. Computer power consumers can also participate as suppliers earning SPARC tokens that can be used to fund their own usage, or be traded for conventional currency on an exchange. This is an example of demand creating supply.

5) SPARC foresees that imminently arriving self-driving automated vehicles, each containing Massively Parallel Processing (MPP) units, when not in operation, will network together forming one of the most powerful distributed supercomputers on Earth. The Internet of Things allows for any device to participate in our distributed computing network, earning SPARC for device owners and providing compute power for users.

6) Due to its globally-distributed architecture, SPARC incurs minimal costs relating to infrastructure, operations, and maintenance. This enables us to provide the most cost-effective and the most powerful computing services in the world.

Features

SPARC is a web-based protocol for computational resources. It is powered by individuals with idle computer power earning rewards and reducing costs.

  • SPARC Math

Advanced mathematical libraries made available to javascript. From complex arguments, to special functions we are bringing live-math to the web.

 

  • SPARC Physics

The web currently lacks a comprehensive physics engine. We will enable physics-based video games and stress simulations from the browser.

 

  • SPARC Shaders

GPU computing is ideal for a wide range of scenarios for floating point math and physics simulations. SPARC aims to provide an array of readily available shaders for calculation and rendering.

Roadmap

  • Q4 2017

  • Boinc
  • Q3 2018

  • Alpha
  • Q1 2019

  • KDS network

Activity

Status:
Member
MEDIUM
Activity:
84
LOW
Merit:
10
LOW
Posts:
201
MEDIUM
Views:
9 159
HIGH
Followers:
519
LOW
Tweets:
114
MEDIUM
Alexa
Rank:
5 821 544
VERY LOW
Delta:
2 667 021
Year commits:
1
Watchers:
3
Stars:
4
Forks:
0
Open issues:
0

Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Founder, CTO & Lead developer
unverified
VP of business development
unverified
Computational Mathematics Developer
unverified
Conrad Bielicki
Specification Manager
unverified
Platform Developer
unverified
Computational Mathematics Developer
unverified
Computational Mathematics SDK Developer
unverified

Advisors

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Research advisor
unverified
Academic Community Advisor
unverified
Cloud Industry Advisor
unverified

Last News

3.07

risky+
5.0 5
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