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A growing number of data scientists are using GPUs for big data analytic to achieve better research results and real-time business decisions.By virtualizing remote GPU to the user’s desktop, MassGrid enables users access to an infinite amount of computing resource. MassGrid Virtual Docker will also integrate several popular data mining open library and tools for users to conveniently setup the development environment.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

Weather forecasting has always been challenging by the limitations in computing power and speed. GPU-accelerated supercomputer for weather forecasting is developing rapidly in recent years and MassGrid will optimize meteorological simulation algorithms by reducing it’s data dependencies and increasing its parallelism. Making it easier for distributed computing, which could dramatically increase the grid resolution from industry standard 1.0km to 300m.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

MassGrid integrate TensonFlow, Caffee2 and several popular neural network frameworks into the MassGrid Virtual Docker for the users to conveniently setup. Users could simultaneously train multiple model with just few configurations. Training data could also transferred by MassGrid p2p file network, it could be the most efficient and cheapest way for AI training.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

MassGrid supports RedShift , iRay and other GPU accelerated rendering application, allowing users To distribute their rendering job by tile, by frame , or by scene on our platform. Scene data could also transferred by MassGrid p2p file network in the MassGrid Virtual Docker and users can send their rendering job to remote GPU just as their on a local network.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

Physical Simulations are extremely intensive on computation, MassGrid not only supports real-time simulation tool like PhysX and Havok, but also support other GPU accelerated application for accurate simulation such as fluid simulation and other scientific physical computing.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

Bioinformatics computation are very demanding tasks, MassGrid supports various Bioinformatics processing such as DNA sequence alignment , protein docking and molecular dynamics on GPU and the data could also transferred by MassGrid p2p file network.

With the rise of machine learning, big data, rendering services and search engines, high performance computing and parallel applications are becoming faster and more demanding. The goal of MassGrid is to become the world's largest distributed GPU high-performance cloud computing network. MassGrid intends to transform the meaningless POW hash computing to general parallel computing that could be used for practical purpose through our improved POW algorithm and redesigned blockchain network architecture.

Technical Features

Jump POW Algorithm

Jump POW Algorithm is MassGrid's patented blockchain technology, it can resist quantum attack and ASIC hardware takeover, make the network safer, fairer and guarantee all network nodes are capable to run general parallel algorithm

GPU Virtualization

GPU Virtualization Technology virtualizes remote GPU hardware resources to client devices. GPU virtualization enables users to freely schedule hardware resources that are physically distributed around the world.

Smart Distribution

MassGrid's P2P exchange system is based on smart contracts and a special tuned runtime. Users can customize the functions and pay rules for their specifc requirement, making trading more flexible and extendable.

POW Algorithm Pool
POW hash algorithm

Most cryptocurrencies are based on a fixed hash algorithm, no matter how complicated the algorithm is and how much space complexity it has. In the long term, there will always be the risk that mining could be replaced by ASIC hardware and finally centralized.

Jump hash constantly changes as blockchain’s data changes, Jump hash selects one hash algorithm from an algorithm pool which contains dozens of algorithms according to certain rules. The combination of hash algorithm which will be used constantly changes at each block.

MassGrid will eventually integrate 30 different Hash algorithms. To design an ASIC for MassGrid mining, all 30 hash algorithms must be implemented in the hardware. Only 1/30 of the chip resource will be used during computing each time and the rest will be idle.

Taken together, Jump Hash significantly increases the GPU's energy efficiency relative to ASIC, as GPU power consumption and price goes down, GPU-based Jump Hash POWs will outperform ASIC economically.

MassGrid's algorithm pool selects 30 hash algorithms out of hundreds, combines the SHA3 family with several dozens other top-secure algorithms. All algorithms have been widely used and tested in many application before.

Jump Hash on GPU
跳变算法GPU

The programmable hardware structure of each computing unit on GPU dynamically switches algorithm to be able to achieve 100% hardware resource efficiency.

Jump Hash on ASIC
ASIC算法

Only 1/30 of chip resource will be used in the ASIC because of non-programmable hardware structure, the remaining resource are idle.

GPU Virtualization
MassGrid

By allowing users to access GPU resources in our computing network and allowing them to use virtualized GPUs to perform tasks and be paid by programmable contracts based on hardware performance and usage time. We have therefor changed general-purpose parallel POW computing to a matter of virtualized GPU time-shared leasing service.

The advantages of a distributed GPU hardware virtualization network are: a) Compatible with almost all GPU-based computing tasks. b) Easy to calculate payment based on hardware performance and leasing time. c) Scaling flexibly on demand.

Road Map
timeline