Mining pool for the factor blockchain.
A distributed system designed to factor large integers efficiently by combining the computing power of many participants.
This approach is crucial in areas like cryptography, number theory research, and security auditing, where factoring large numbers
quickly can reveal weaknesses in encryption systems or validate theoretical results.
An integer factorization pool works similarly to a mining pool in cryptocurrency, but instead of hashing for blocks, it focuses on decomposing large composite numbers into their prime factors. Participants contribute CPU or GPU power to a centralized or coordinated platform. The pool divides the factorization task into smaller subtasks, distributes them to contributors, and aggregates the results.
This distributed approach makes it possible to tackle integers that would be infeasible to factor on a single machine, especially when using
advanced algorithms such as:
- Quadratic Sieve (QS)
- General Number Field Sieve (GNFS)
- Pollard’s Rho Algorithm
- Elliptic Curve Method (ECM)
Integer factorization is at the heart of many public-key cryptosystems, especially RSA encryption.
The security of RSA is based on the difficulty of factoring large semiprime numbers (products of two large primes). A powerful and efficient
integer factorization pool can help:
- Test cryptographic strength of RSA key sizes
- Support academic research in computational number theory
- Identify vulnerable keys in outdated or misconfigured systems
- Benchmark hardware on realistic, mathematically demanding workloads
Using a dedicated pool for integer factorization offers several advantages:
Massive Parallelization
Breaking the factorization problem into distributed workloads allows thousands of cores to work together,
dramatically reducing time to solution.
Scalability
As more contributors join the pool, the available compute power increases, making it possible to factor increasingly large integers.
Collaborative Research
A factorization pool enables researchers, students, and security professionals to cooperate on challenging factorization problems and
share insights and results.
An integer factorization pool can be applied in multiple domains:
Cryptanalysis and Security Auditing
Test RSA keys, identify weak or reused primes, and validate recommended key lengths for secure systems.
Academic and Educational Projects
Offer students hands-on experience with computational number theory, distributed computing, and modern factoring algorithms.
Proof-of-Concept Demonstrations
Show the practical impact of advances in factoring technology on cryptographic standards and security best practices.
Payouts calculations are created roughly every 24 hours.
actual payout can vary depending on network speed. 101
block confirmations are required
There is no minimum payout. You earn what you mined
Every share your worker submits will be accounted
| CPU | FACT | $ |
|---|---|---|
| AMD EPYC 9B24 128-Core Processor | 1.03 | 1.70 |
| AMD EPYC 9R14 96-Core Processor | 0.89 | 1.47 |
| AMD Eng Sample | 0.87 | 1.44 |
| AMD EPYC 9654 96-Core Processor | 0.8 | 1.32 |
| AMD EPYC 9B14 96-Core Processor | 0.54 | 0.89 |
| AMD Ryzen Threadripper 7970X 32-Cores | 0.49 | 0.81 |
| AMD EPYC 9Y24 96-Core Processor | 0.42 | 0.69 |
| AMD EPYC 7702 64-Core Processor | 0.39 | 0.64 |
| AMD EPYC 7K62 48-Core Processor | 0.38 | 0.63 |
| AMD Ryzen Threadripper 3990X 64-Core Processor | 0.3 | 0.49 |
| AMD EPYC 7V12 64-Core Processor | 0.29 | 0.48 |
| AMD Ryzen 9 7950X 16-Core Processor | 0.26 | 0.43 |
| AMD Ryzen 9 7950X3D 16-Core Processor | 0.26 | 0.43 |
| AMD Ryzen 9 9950X 16-Core Processor | 0.24 | 0.40 |
| AMD Ryzen 9 7945HX with Radeon Graphics | 0.23 | 0.38 |
| AMD EPYC 7B12 64-Core Processor | 0.2 | 0.33 |
| AMD Ryzen 9 7900X 12-Core Processor | 0.19 | 0.31 |
| AMD Ryzen 9 9900X 12-Core Processor | 0.18 | 0.30 |
| AMD Ryzen 9 7900X3D 12-Core Processor | 0.16 | 0.26 |
| AMD Ryzen 9 7900 12-Core Processor | 0.14 | 0.23 |
| AMD EPYC 9J14 96-Core Processor | 0.13 | 0.21 |
| AMD Ryzen 9 9950X3D 16-Core Processor | 0.13 | 0.21 |
| Intel(R) Xeon(R) CPU E5-2683 v4 @ 2.10GHz | 0.12 | 0.20 |
| AMD Ryzen 7 7800X3D 8-Core Processor | 0.1 | 0.17 |
| AMD Ryzen 9 5900X 12-Core Processor | 0.09 | 0.15 |
| AMD Ryzen 9 7940HS w/ Radeon 780M Graphics | 0.09 | 0.15 |
| 13th Gen Intel(R) Core(TM) i7-13700KF | 0.08 | 0.13 |
| AMD Ryzen 5 7600 6-Core Processor | 0.08 | 0.13 |
| AMD Ryzen 7 8745HS w/ Radeon 780M Graphics | 0.08 | 0.13 |
| AMD Ryzen 7 8845HS w/ Radeon 780M Graphics | 0.08 | 0.13 |
| AMD Ryzen 9 5950X 16-Core Processor | 0.08 | 0.13 |
| AMD Ryzen 9 3950X 16-Core Processor | 0.07 | 0.12 |
| AMD Ryzen 5 3600 6-Core Processor | 0.06 | 0.10 |
| AMD Ryzen 7 7735HS with Radeon Graphics | 0.04 | 0.07 |
| AMD Ryzen 9 3900X 12-Core Processor | 0.04 | 0.07 |
| 12th Gen Intel(R) Core(TM) i7-12700K | 0.03 | 0.05 |
| Intel(R) Xeon(R) CPU E5-2699 v3 @ 2.30GHz | 0.03 | 0.05 |
| AMD EPYC 7J13 64-Core Processor | 0.02 | 0.03 |
| AMD Ryzen 5 5600G with Radeon Graphics | 0.02 | 0.03 |
| AMD Ryzen 5 5625U with Radeon Graphics | 0.02 | 0.03 |
| AMD Ryzen 9 3900 12-Core Processor | 0.01 | 0.02 |
| AMD EPYC 7642 48-Core Processor | 0.0 | 0.00 |