ChalkLabs has vast experience creating and optimizing algorithms to attack the Big Data problem. ChalkLabs believes in using the best tool for the job, so depending on the needs, parallel and/or distributed computing (often in the Cloud) is used with technologies like MPI, OpenMP, Hadoop / MapReduce, CUDA, OpenCL, among others to get the job done. This flexibility and a deep understanding of the unique issues involved with processing large amounts of data can help clients move their problems from impossible, slow, or expensive to efficient and cost-effective.