1. A method, with an information processing system, for providing high-throughput computing in a hybrid processing system, the method comprising: analyzing a set of high-throughput computing service level agreements (SLAs) the set of high-throughput computing SLAs being associated with a hybrid processing system comprising at least one server system comprising a first computing architecture and a set of accelerator systems each comprising a second computing architecture that is different from the first computing architecture, wherein at least one SLA in the set of SLAs is dynamically updatable, and wherein each SLA in the set of SLAs is a multi-dimensional SLA comprising at least one performance throughput SLA, at least one performance response time batch window SLA, and at least one energy SLA, to be satisfied by the hybrid processing system, wherein each of the performance throughput SLA, the response time batch window SLA, and the energy SLA is associated with a relative priority; monitoring, based on the set of high-throughput computing SLAs, a first set of resources at the at least one server system and a second set of resources at the set of accelerator systems; and dynamically scheduling, based on the monitoring, a set of data-parallel workload tasks across at least one resource in the first set of resources and at least one resource in the second set of resources, the dynamically scheduling substantially satisfying the set of high-throughput computing SLAs.