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RowClone: Fast and energy-efficient in-DRAM bulk data copy and initialization
Several system-level operations trigger bulk data copy or initialization. Even though these
bulk data operations do not require any computation, current systems transfer a large …
bulk data operations do not require any computation, current systems transfer a large …
A survey on agent-based simulation using hardware accelerators
J ** of data parallel programs to opencl for heterogeneous systems
General purpose GPU based systems are highly attractive as they give potentially massive
performance at little cost. Re-alizing such potential is challenging due to the complexity of …
performance at little cost. Re-alizing such potential is challenging due to the complexity of …
Kernelet: High-throughput GPU kernel executions with dynamic slicing and scheduling
Graphics processors, or GPUs, have recently been widely used as accelerators in shared
environments such as clusters and clouds. In such shared environments, many kernels are …
environments such as clusters and clouds. In such shared environments, many kernels are …
Accelerating applications using edge tensor processing units
Neural network (NN) accelerators have been integrated into a wide-spectrum of computer
systems to accommodate the rapidly growing demands for artificial intelligence (AI) and …
systems to accommodate the rapidly growing demands for artificial intelligence (AI) and …
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems
The recent use of graphics processing units (GPUs) in several top supercomputers
demonstrate their ability to consistently deliver positive results in high-performance …
demonstrate their ability to consistently deliver positive results in high-performance …