ARTSccelerated ray-tracing system
IEEE Computer Graphics and Applications
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
An adaptive subdivision by sliding boundary surfaces for fast ray tracing
Proceedings on Graphics Interface '86/Vision Interface '86
Automatic Creation of Object Hierarchies for Ray Tracing
IEEE Computer Graphics and Applications
Sight-dedicated computer graphics machine
Computer Graphics Forum
The pixel machine: a parallel image computer
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Highly parallel computing
PLUS: a distributed shared-memory system
ISCA '90 Proceedings of the 17th annual international symposium on Computer Architecture
A Reflectance Model for Computer Graphics
ACM Transactions on Graphics (TOG)
An improved illumination model for shaded display
Communications of the ACM
Exploiting Coherence for Multiprocessor Ray Tracing
IEEE Computer Graphics and Applications
Links-1 - a parallel pipelined multimicrocomputer system for image creation
ISCA '83 Proceedings of the 10th annual international symposium on Computer architecture
An adaptive subdivision algorithm and parallel architecture for realistic image synthesis
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
A Testbed for Realistic Image Synthesis
IEEE Computer Graphics and Applications
A Proposal for Standard Graphics Environments
IEEE Computer Graphics and Applications
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The production of realistic image generated by computer requires a huge amount of computation and a large memory capacity. The use of highly parallel computers allows this process to be performed faster. Distributed memory parallel computers (DMPCs), such as hypercubes or transputer-based machines, offer an attractive performance/cost ratio when the load balancing has been balance and the partition of the data domain has been performed. This paper presents a parallel ray tracing algorithm for DMPC using a Shared Virtual Memory (SVM) which solves these two classical problems. This algorithm has been implemented on a hypercube iPSC/2 and results are given.