Wide Address Handling and Synchronization in RISC-V

A 32-bit instruction cannot fit a large constant or a far-away memory address directly inside it, and multiple processors sharing memory cannot safely update the same data without coordination. This article explains how RISC-V builds large immediate values and addresses out of smaller pieces, and how atomic instructions allow parallel programs to synchronize safely.

Wide Immediate ValuesAddress FormationSynchronization Instructions

~3 min read · Updated Sep 6, 2026

The Problem: Fitting Large Values into Fixed-Width Instructions

Every RISC-V instruction is packed into a fixed 32-bit word. Since some of those bits must encode the opcode and register fields, only a limited number of bits remain available for an embedded constant, known as an Immediate Value. This creates a problem: how can a program work with a 32-bit or 64-bit constant, or a memory address far larger than what fits in the leftover bits of one instruction?

Building Wide Constants from Smaller Pieces

RISC-V solves this by splitting a large constant across two instructions rather than trying to fit it into one.

lui a, upperBits
addi a, a, lowerBits

lui (load upper immediate) places a set of bits into the upper portion of a register and clears the lower portion to zero. The following addi instruction then adds a smaller immediate value to fill in the lower bits. Combined, these two ordinary instructions construct a value far larger than either instruction could encode on its own.

Reaching Distant Memory Addresses and Labels

The same size limitation applies to jump and branch instructions when the destination is far away in memory. Since a branch's target offset must also fit within the instruction's limited immediate field, very distant jumps are handled either by combining multiple instructions similarly to constant-building, or by using instruction variants specifically designed to reach a wider address range at the cost of extra encoding bits dedicated to the offset.

Why Multiple Processors Need Synchronization

When a single program runs on one core, instructions execute in a predictable order. But when a program is split across multiple cores that share the same memory, a new problem arises: two cores might try to read and update the same memory location at nearly the same moment, a situation called a Race Condition, which can silently corrupt shared data if left unmanaged.

Atomic Instructions: Read-Modify-Write Without Interruption

To prevent this, RISC-V provides Atomic Instructions, which perform a read, a modification, and a write to memory as a single indivisible step that no other core can interrupt partway through.

A representative atomic instruction used for synchronization:

amoswap.d a, b, (c)

This instruction atomically swaps the value in register b with the value currently stored at the memory address held in register c, placing the old memory value into register a. Because this entire sequence is guaranteed to complete without another core interfering in the middle, it can be used to build higher-level coordination tools such as a Lock, which ensures only one core at a time can access a shared resource.

Why These Two Topics Belong Together

Both wide-value construction and atomic synchronization address the same underlying constraint: a fixed, narrow instruction format. Just as large constants must be assembled from smaller pieces across multiple instructions, safe coordination between cores must be built from small, guaranteed-indivisible hardware operations rather than assumed to happen correctly by default.

Written & researched by Dr. Shahin Siami

Related Articles

Control Hazards: Handling Branches in a Pipelined Processor

Branches create a unique problem for pipelining: the processor must fetch the next instruction before it even knows whether a branch will be taken. This article explains what control hazards are, how branch prediction and delayed resolution attempt to minimize their cost, and what happens when a prediction turns out to be wrong.

Continue

Data Hazards in Pipelines: Forwarding Versus Stalling

Overlapping instruction execution creates a serious problem when one instruction needs a result that a previous instruction has not finished computing yet. This article explains what data hazards are, how forwarding solves most of them without losing any performance, and why some situations still require the pipeline to stall.

Continue

Turning a Single-Cycle Datapath into a Pipelined One

Overlapping instruction execution requires more than just running the same single-cycle hardware faster; it requires physically separating each pipeline stage with storage elements and duplicating control logic across stages. This article explains how pipeline registers preserve instruction state between stages and how control signals travel alongside data through the pipeline.

Continue

An Overview of Pipelining: Overlapping Instruction Execution

A single-cycle processor wastes enormous amounts of hardware idle time since every instruction must fit within the length of the slowest possible instruction. This article introduces pipelining as a solution, explains the classic assembly-line analogy, breaks down the standard five-stage pipeline, and covers why pipelining increases instruction throughput without making any individual instruction faster.

Continue

Designing Control Logic for a Single-Cycle Processor

A datapath alone does nothing without control signals telling it what to do for each instruction. This article explains how control logic reads an instruction's opcode and function fields to generate the exact signals needed to route data correctly, and walks through how a complete single-cycle implementation executes different instruction types.

Continue

Building a Datapath: Connecting Registers, Memory, and the ALU

A datapath is the physical circuitry that moves data through a processor as it executes an instruction. This article breaks down the essential hardware building blocks needed to fetch, decode, and execute instructions, and shows how they are wired together to form a functioning, if simplified, processor datapath.

Continue