Abstract- This work describes a softcore design of a processor in style of Graphic Processing Units. The design is realized using Verilog Hardware Description Language. The proposed design has an advantage in the flexibility to scale up by adding more processing elements to attain more speedup

Abstract — A GPU-style processor has large amount of processing power on a given die compared to a general purpose processor. However, a Graphic Processing Unit must be executed in lock-step where a group of cores execute the same instruction. This constraint puts a real limitation on programming

In this paper we present a novel real-time cartoon-style rendering approach, which targets very large meshes. Cartoon drawing usually uses a limited number of colors for shading and emphasizes special effects, such as sharp curvature and silhouettes. It also paints the remaining large regions

, provide efficient inter-processor communication through on-chip local memory, and support a general-purpose parallel programming model. Nevertheless, many of the GPU features are specialized for graphics processing, including the massively multi-threaded archi-tecture, the Single

The field of multi‐core and many‐core processors has been pushed to new levels by the advent of general purpose GPU (GPGPU)  architectures such as Nvidia Tesla [12]  and accessible programming environments such as CUDA [11]. An example of an Nvidia GeForce GPU is shown in Figure 1 in comparison to a Cell processor

Abstract—The rapid advancements in the computational capabilities of the graphics processing unit (GPU) as well as the deployment of general programming models for these devices have made the vision of a desktop supercomputer a reality. It is now possible to assemble a system that provides several

, that it is possible to achieve significant improvements in the price/performance and energy/performance over general purpose processors. But these demonstrations are each the result of significant dedicated programmer labor, which is likely to be duplicated for each new GPU hardware architecture to achieve

Abstract—Parallel Thread Execution ISA (PTX) is a virtual instruction set used by NVIDIA GPUs that explicitly expresses hierarchical MIMD and SIMD style parallelism in an application. In such a programming model, the programmer and compiler are left with the not trivial, but not impossible, task

been the research significant topic in the computer security as well as in computing fields. With remarkable increase in the computing capability of the modern Graphics Processing Unit's (GPUs) as a co-processor of the CPU, one can significantly benefit from the Single Instruction Multiple Thread

allowing great flexibility in choosing a modulus to opti-mize cost/performance trade-offs. We also demonstrate that, for a memory-intensive workload on a modern replay-style GPU architecture, prime moduli are not in general the best choices for memory bank and cache set mappings. Applying AMI to set